Compare commits

...

40 Commits

Author SHA1 Message Date
github-actions[bot] 335020e242 Release 0.8.26 (#1541)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: himself65 <himself65@users.noreply.github.com>
2024-12-02 12:23:57 -08:00
Alex Yang 3d1808b5d2 chore: bump version (#1540) 2024-12-02 12:18:51 -08:00
Alex Yang a19cbc7fe0 ci: fix (#1539) 2024-12-02 10:33:44 -08:00
github-actions[bot] b8f0cbc4e0 Release 0.8.25 (#1536)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: marcusschiesser <marcusschiesser@users.noreply.github.com>
2024-12-02 03:02:36 -08:00
Marcus Schiesser 7e8230b056 fix: release missing readers package (#1537) 2024-12-02 17:54:22 +07:00
Alex Yang 8be45899a7 chore: bump version 2024-12-02 02:21:13 -08:00
github-actions[bot] c4800bcf82 Release @llamaindex/vercel@0.0.2 (#1535) 2024-12-02 14:19:40 +07:00
Thuc Pham fd38a253b7 feat: add vercel chat example (#1532)
Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>
2024-12-02 13:56:28 +07:00
github-actions[bot] 510191cb5d Release 0.8.24 (#1531)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-30 06:05:47 -08:00
Jingyi Zhao 7934ade092 fix: add obsidian reader to index (#1533) 2024-11-30 01:29:45 -08:00
Jingyi Zhao a6c1eab762 feat: data connector for obsidian note taking app (#1529) 2024-11-29 22:39:59 -08:00
crisjy 515f2c1e3d feat: add AzureCosmosDBMongoVectorStore (#1528) 2024-11-28 17:53:09 -08:00
github-actions[bot] dc85649ead Release 0.8.23 (#1526)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-26 17:41:29 -08:00
Alex Yang d2b2722a30 fix: switch tokenizer in cloudflare (#1525) 2024-11-26 15:42:20 -08:00
github-actions[bot] a2bbd62399 Release 0.8.22 (#1520)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-21 23:17:45 -08:00
Alex Yang 969365ca0a feat: add cloudflare worker full example (#1521) 2024-11-21 23:05:40 -08:00
fatmelon 819af453d6 feat: add Azure CosmosDB Mongo vCore Chat store (#1516)
Co-authored-by: root <root@CPC-yangq-FRSGK>
2024-11-21 21:25:41 -08:00
github-actions[bot] 9db36f7384 Release 0.8.21 (#1513)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-19 18:18:35 -08:00
fatmelon efa221116f feat: integrate with azure cosmos db mongo vCore (#1500)
Co-authored-by: root <root@CPC-yangq-FRSGK>
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-19 17:58:25 -08:00
Alex Yang 83c3897539 fix: pinecone vector store (#1512) 2024-11-19 17:51:45 -08:00
github-actions[bot] e1cbce1f80 Release 0.8.20 (#1511)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-19 10:01:18 -08:00
Madarco 02b22da384 fix: supports vercel bundling (#1509)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-19 09:52:56 -08:00
github-actions[bot] 0aa61db547 Release 0.8.19 (#1507)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-19 00:01:48 -08:00
Alex Yang 90d265cf47 chore: bump version (#1505) 2024-11-18 18:39:13 -08:00
github-actions[bot] fc2d5ea1cd Release 0.8.18 (#1506)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-18 13:08:32 -08:00
Thuc Pham ef4f63d9f4 refactor: move mockLLM to core (#1493)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-18 11:39:46 -08:00
Thuc Pham d17450fdfb fix: next.js 15 compatibility (#1474)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-18 11:34:05 -08:00
github-actions[bot] 805d2b0d55 Release 0.8.17 (#1504)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-18 10:28:15 -08:00
Marcus Schiesser 6d22fa2a50 feat: Get PromptTemplate template variables at run-time (#1502) 2024-11-18 09:34:26 -08:00
Aman Rao 16f0068175 chore: update azure cosmos db no sql vector store (#1503) 2024-11-18 09:33:20 -08:00
github-actions[bot] 1054c3382a Release 0.8.16 (#1499)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-17 22:28:02 -08:00
Alex Yang e60328b086 fix: import error in cjs (#1498) 2024-11-17 22:24:09 -08:00
Laurie Voss 3371dfb89f Syncing footer to match main site (#1496) 2024-11-16 00:43:44 -08:00
github-actions[bot] 2065a16a07 Release 0.8.15 (#1494)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-15 11:27:52 -08:00
Wassim Chegham 5dae534f8d fix: propagate queryStr to concrete vectorStore (#1495)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-15 11:16:32 -08:00
Aman Rao 3d503cb810 chore: update azure cosmos db (#1484)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-15 00:55:32 -08:00
Thuc Pham daf8522bec feat: use mock llm (#1492) 2024-11-15 14:50:49 +08:00
github-actions[bot] 223f3136b4 Release 0.8.14 (#1491)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2024-11-14 21:49:37 -08:00
Thuc Pham c6bad7d951 docs(next): chat UI with rsc example (#1481)
Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>
2024-11-14 21:33:30 -08:00
Aman Rao 630b425545 feat: add Azure CosmosDB NoSql Chat store (#1490)
Co-authored-by: Alex Yang <himself65@outlook.com>
2024-11-14 21:30:55 -08:00
136 changed files with 8120 additions and 3040 deletions
+98
View File
@@ -1,5 +1,103 @@
# docs
## 0.0.132
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
- @llamaindex/examples@0.0.19
## 0.0.131
### Patch Changes
- llamaindex@0.8.25
- @llamaindex/examples@0.0.18
## 0.0.130
### Patch Changes
- Updated dependencies [fd38a25]
- @llamaindex/examples@0.0.17
## 0.0.129
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.128
### Patch Changes
- llamaindex@0.8.23
## 0.0.127
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.0.126
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.125
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.124
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.0.123
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.0.122
### Patch Changes
- llamaindex@0.8.17
## 0.0.121
### Patch Changes
- llamaindex@0.8.16
## 0.0.120
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.119
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.118
### Patch Changes
+8 -8
View File
@@ -1,6 +1,6 @@
{
"name": "docs",
"version": "0.0.118",
"version": "0.0.132",
"private": true,
"scripts": {
"docusaurus": "docusaurus",
@@ -15,23 +15,23 @@
"typecheck": "tsc"
},
"dependencies": {
"@docusaurus/core": "3.6.0",
"@docusaurus/remark-plugin-npm2yarn": "3.6.0",
"@docusaurus/core": "3.6.1",
"@docusaurus/remark-plugin-npm2yarn": "3.6.1",
"@llamaindex/examples": "workspace:*",
"@mdx-js/react": "^3.1.0",
"clsx": "^2.1.1",
"llamaindex": "workspace:*",
"postcss": "^8.4.47",
"postcss": "^8.4.49",
"prism-react-renderer": "^2.4.0",
"raw-loader": "^4.0.2",
"react": "^18.3.1",
"react-dom": "18.3.1"
},
"devDependencies": {
"@docusaurus/module-type-aliases": "3.6.0",
"@docusaurus/preset-classic": "3.6.0",
"@docusaurus/theme-classic": "3.6.0",
"@docusaurus/types": "3.6.0",
"@docusaurus/module-type-aliases": "3.6.1",
"@docusaurus/preset-classic": "3.6.1",
"@docusaurus/theme-classic": "3.6.1",
"@docusaurus/types": "3.6.1",
"@tsconfig/docusaurus": "2.0.3",
"@types/node": "^22.9.0",
"docusaurus-plugin-typedoc": "1.0.5",
+137
View File
@@ -1,5 +1,142 @@
# @llamaindex/doc
## 0.0.30
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
- llamaindex@0.8.26
- @llamaindex/openai@0.1.42
- @llamaindex/cloud@2.0.17
- @llamaindex/node-parser@0.0.18
- @llamaindex/readers@1.0.19
## 0.0.29
### Patch Changes
- Updated dependencies [7e8230b]
- Updated dependencies [8be4589]
- @llamaindex/readers@1.0.18
- @llamaindex/cloud@2.0.16
- @llamaindex/core@0.4.16
- @llamaindex/node-parser@0.0.17
- @llamaindex/openai@0.1.41
- @llamaindex/workflow@0.0.7
- llamaindex@0.8.25
## 0.0.28
### Patch Changes
- fd38a25: Add vercel tool adapter to use query engine tool
## 0.0.27
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.26
### Patch Changes
- @llamaindex/cloud@2.0.15
- @llamaindex/core@0.4.15
- llamaindex@0.8.23
- @llamaindex/node-parser@0.0.16
- @llamaindex/openai@0.1.40
- @llamaindex/readers@1.0.17
## 0.0.25
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
- @llamaindex/cloud@2.0.14
- @llamaindex/core@0.4.14
- @llamaindex/node-parser@0.0.15
- @llamaindex/openai@0.1.39
- @llamaindex/readers@1.0.16
## 0.0.24
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.23
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.22
### Patch Changes
- Updated dependencies [90d265c]
- @llamaindex/cloud@2.0.13
- @llamaindex/core@0.4.13
- llamaindex@0.8.19
- @llamaindex/node-parser@0.0.14
- @llamaindex/readers@1.0.15
- @llamaindex/openai@0.1.38
## 0.0.21
### Patch Changes
- Updated dependencies [d17450f]
- Updated dependencies [ef4f63d]
- llamaindex@0.8.18
- @llamaindex/core@0.4.12
- @llamaindex/cloud@2.0.12
- @llamaindex/node-parser@0.0.13
- @llamaindex/openai@0.1.37
- @llamaindex/readers@1.0.14
## 0.0.20
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
- @llamaindex/cloud@2.0.11
- llamaindex@0.8.17
- @llamaindex/node-parser@0.0.12
- @llamaindex/openai@0.1.36
- @llamaindex/readers@1.0.13
## 0.0.19
### Patch Changes
- Updated dependencies [e60328b]
- @llamaindex/readers@1.0.12
- llamaindex@0.8.16
## 0.0.18
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.17
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.16
### Patch Changes
+2
View File
@@ -6,6 +6,7 @@ const withMDX = createMDX();
const config = {
reactStrictMode: true,
transpilePackages: ["monaco-editor"],
serverExternalPackages: ["@huggingface/transformers"],
webpack: (config, { isServer }) => {
if (Array.isArray(config.target) && config.target.includes("web")) {
config.target = ["web", "es2020"];
@@ -26,6 +27,7 @@ const config = {
}),
);
}
config.resolve.alias["replicate"] = false;
return config;
},
};
+24 -24
View File
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/doc",
"version": "0.0.16",
"version": "0.0.30",
"private": true,
"scripts": {
"build": "pnpm run build:docs && next build",
@@ -12,7 +12,7 @@
},
"dependencies": {
"@icons-pack/react-simple-icons": "^10.1.0",
"@llamaindex/chat-ui": "0.0.5",
"@llamaindex/chat-ui": "0.0.9",
"@llamaindex/cloud": "workspace:*",
"@llamaindex/core": "workspace:*",
"@llamaindex/node-parser": "workspace:*",
@@ -20,31 +20,31 @@
"@llamaindex/readers": "workspace:*",
"@llamaindex/workflow": "workspace:*",
"@mdx-js/mdx": "^3.1.0",
"@number-flow/react": "^0.3.0",
"@number-flow/react": "^0.3.4",
"@radix-ui/react-dialog": "^1.1.2",
"@radix-ui/react-icons": "^1.3.1",
"@radix-ui/react-icons": "^1.3.2",
"@radix-ui/react-label": "^2.1.0",
"@radix-ui/react-slider": "^1.2.1",
"@radix-ui/react-slot": "^1.1.0",
"@radix-ui/react-tooltip": "^1.1.3",
"@radix-ui/react-tooltip": "^1.1.4",
"@vercel/functions": "^1.5.0",
"ai": "^3.4.31",
"ai": "^3.4.33",
"class-variance-authority": "^0.7.0",
"clsx": "2.1.1",
"foxact": "^0.2.40",
"framer-motion": "^11.11.11",
"fumadocs-core": "14.2.0",
"fumadocs-docgen": "^1.3.1",
"foxact": "^0.2.41",
"framer-motion": "^11.11.17",
"fumadocs-core": "14.4.2",
"fumadocs-docgen": "^1.3.2",
"fumadocs-mdx": "^11.1.1",
"fumadocs-openapi": "^5.5.6",
"fumadocs-openapi": "^5.7.0",
"fumadocs-twoslash": "^2.0.1",
"fumadocs-typescript": "^3.0.1",
"fumadocs-ui": "14.2.0",
"fumadocs-typescript": "^3.0.2",
"fumadocs-ui": "14.4.2",
"hast-util-to-jsx-runtime": "^2.3.2",
"llamaindex": "workspace:*",
"lucide-react": "^0.454.0",
"next": "15.0.2",
"next-themes": "^0.3.0",
"lucide-react": "^0.460.0",
"next": "15.0.3",
"next-themes": "^0.4.3",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-icons": "^5.3.0",
@@ -54,19 +54,19 @@
"rehype-katex": "^7.0.1",
"remark-math": "^6.0.0",
"rimraf": "^6.0.1",
"shiki": "^1.22.2",
"shiki": "^1.23.1",
"shiki-magic-move": "^0.5.0",
"swr": "^2.2.5",
"tailwind-merge": "^2.5.2",
"tailwindcss-animate": "^1.0.7",
"tree-sitter": "^0.22.0",
"tree-sitter-typescript": "^0.23.0",
"use-stick-to-bottom": "^1.0.41",
"web-tree-sitter": "^0.24.3",
"tree-sitter": "^0.22.1",
"tree-sitter-typescript": "^0.23.2",
"use-stick-to-bottom": "^1.0.42",
"web-tree-sitter": "^0.24.4",
"zod": "^3.23.8"
},
"devDependencies": {
"@next/env": "^15.0.2",
"@next/env": "^15.0.3",
"@types/mdx": "^2.0.13",
"@types/node": "22.9.0",
"@types/react": "^18.3.12",
@@ -75,12 +75,12 @@
"fast-glob": "^3.3.2",
"gray-matter": "^4.0.3",
"monaco-editor-webpack-plugin": "^7.1.0",
"postcss": "^8.4.47",
"postcss": "^8.4.49",
"remark": "^15.0.1",
"remark-gfm": "^4.0.0",
"remark-mdx": "^3.1.0",
"remark-stringify": "^11.0.0",
"tailwindcss": "^3.4.14",
"tailwindcss": "^3.4.15",
"tsx": "^4.19.2",
"typescript": "^5.6.3"
}
+4 -1
View File
@@ -1,7 +1,10 @@
import { MockLLM } from "@llamaindex/core/utils";
import { LlamaIndexAdapter, type Message } from "ai";
import { SimpleChatEngine, type ChatMessage } from "llamaindex";
import { Settings, SimpleChatEngine, type ChatMessage } from "llamaindex";
import { NextResponse, type NextRequest } from "next/server";
Settings.llm = new MockLLM(); // config your LLM here
export async function POST(request: NextRequest) {
try {
const { messages } = (await request.json()) as { messages: Message[] };
-8
View File
@@ -1,8 +0,0 @@
"use client";
import { ChatSection } from "@llamaindex/chat-ui";
import { useChat } from "ai/react";
export const ChatDemo = () => {
const handler = useChat();
return <ChatSection handler={handler} />;
};
@@ -0,0 +1,16 @@
"use client";
import { ChatInput, ChatMessages, ChatSection } from "@llamaindex/chat-ui";
import { useChat } from "ai/react";
export const ChatDemo = () => {
const handler = useChat();
return (
<ChatSection handler={handler}>
<ChatMessages>
<ChatMessages.List className="h-auto max-h-[400px]" />
<ChatMessages.Actions />
</ChatMessages>
<ChatInput />
</ChatSection>
);
};
@@ -0,0 +1,57 @@
import { Markdown } from "@llamaindex/chat-ui/widgets";
import { MockLLM } from "@llamaindex/core/utils";
import { generateId, Message } from "ai";
import { createAI, createStreamableUI, getMutableAIState } from "ai/rsc";
import { type ChatMessage, Settings, SimpleChatEngine } from "llamaindex";
import { ReactNode } from "react";
type ServerState = Message[];
type FrontendState = Array<Message & { display: ReactNode }>;
type Actions = {
chat: (message: Message) => Promise<Message & { display: ReactNode }>;
};
Settings.llm = new MockLLM(); // config your LLM here
export const AI = createAI<ServerState, FrontendState, Actions>({
initialAIState: [],
initialUIState: [],
actions: {
chat: async (message: Message) => {
"use server";
const aiState = getMutableAIState<typeof AI>();
aiState.update((prev) => [...prev, message]);
const uiStream = createStreamableUI();
const chatEngine = new SimpleChatEngine();
const assistantMessage: Message = {
id: generateId(),
role: "assistant",
content: "",
};
// run the async function without blocking
(async () => {
const chatResponse = await chatEngine.chat({
stream: true,
message: message.content,
chatHistory: aiState.get() as ChatMessage[],
});
for await (const chunk of chatResponse) {
assistantMessage.content += chunk.delta;
uiStream.update(<Markdown content={assistantMessage.content} />);
}
aiState.done([...aiState.get(), assistantMessage]);
uiStream.done();
})();
return {
...assistantMessage,
display: uiStream.value,
};
},
},
});
@@ -0,0 +1,33 @@
"use client";
import {
ChatInput,
ChatMessage,
ChatMessages,
ChatSection as ChatSectionUI,
} from "@llamaindex/chat-ui";
import { useChatRSC } from "./use-chat-rsc";
export const ChatSectionRSC = () => {
const handler = useChatRSC();
return (
<ChatSectionUI handler={handler}>
<ChatMessages>
<ChatMessages.List className="h-auto max-h-[400px]">
{handler.messages.map((message, index) => (
<ChatMessage
key={index}
message={message}
isLast={index === handler.messages.length - 1}
>
<ChatMessage.Avatar />
<ChatMessage.Content>{message.display}</ChatMessage.Content>
</ChatMessage>
))}
<ChatMessages.Loading />
</ChatMessages.List>
</ChatMessages>
<ChatInput />
</ChatSectionUI>
);
};
@@ -0,0 +1,8 @@
import { AI } from "./ai-action";
import { ChatSectionRSC } from "./chat-section";
export const ChatDemoRSC = () => (
<AI>
<ChatSectionRSC />
</AI>
);
@@ -0,0 +1,41 @@
"use client";
import { useActions } from "ai/rsc";
import { generateId, Message } from "ai";
import { useUIState } from "ai/rsc";
import { useState } from "react";
import { AI } from "./ai-action";
export function useChatRSC() {
const [input, setInput] = useState<string>("");
const [isLoading, setIsLoading] = useState<boolean>(false);
const [messages, setMessages] = useUIState<typeof AI>();
const { chat } = useActions<typeof AI>();
const append = async (message: Omit<Message, "id">) => {
const newMsg: Message = { ...message, id: generateId() };
setIsLoading(true);
try {
setMessages((prev) => [...prev, { ...newMsg, display: message.content }]);
const assistantMsg = await chat(newMsg);
setMessages((prev) => [...prev, assistantMsg]);
} catch (error) {
console.error(error);
}
setIsLoading(false);
setInput("");
return message.content;
};
return {
input,
setInput,
isLoading,
messages,
setMessages,
append,
};
}
+27 -5
View File
@@ -85,6 +85,33 @@ const Footer = () => {
<Text as="span">SharePoint</Text>
</a>
</li>
<li>
<a
href="https://llamaindex.ai/llamacloud-aws-s3-data-loading-for-generative-ai"
data-tracking-variant="link"
data-tracking-section="footer"
>
<Text as="span">AWS S3</Text>
</a>
</li>
<li>
<a
href="https://llamaindex.ai/llamacloud-azure-blob-storage-data-loading-for-generative-ai"
data-tracking-variant="link"
data-tracking-section="footer"
>
<Text as="span">Azure Blob Storage</Text>
</a>
</li>
<li>
<a
href="https://llamaindex.ai/llamacloud-google-drive-data-loading-for-generative-ai"
data-tracking-variant="link"
data-tracking-section="footer"
>
<Text as="span">Google Drive</Text>
</a>
</li>
</ul>
</div>
<div>
@@ -171,11 +198,6 @@ const Footer = () => {
<Text as="span">SEC Insights</Text>
</a>
</li>
<li>
<a href="https://chat.llamaindex.ai/">
<Text as="span">Chat LlamaIndex</Text>
</a>
</li>
<li>
<a href="https://github.com/run-llama/llamabot">
<Text as="span">LlamaBot</Text>
@@ -1,8 +1,8 @@
---
title: Chat-UI
description: Use chat-ui to add a chat interface to your LlamaIndexTS application.
title: Using API Route
description: Chat interface for your LlamaIndexTS application using API Route
---
import { ChatDemo } from '../../../../components/demo/chat';
import { ChatDemo } from '../../../../../components/demo/chat/api/demo';
import "@llamaindex/chat-ui/styles/code.css";
import "@llamaindex/chat-ui/styles/katex.css";
@@ -26,7 +26,7 @@ This is the simplest way to add a chat interface to your application. Copy the f
```json doc-gen:file
{
"file": "./src/components/demo/chat.tsx",
"file": "./src/components/demo/chat/api/demo.tsx",
"codeblock": true
}
```
@@ -37,6 +37,7 @@ Combining both, you're getting a fully functional chat interface:
<ChatDemo />
## Next Steps
The steps above are the bare minimum to get a chat interface working. From here, you can go two ways:
@@ -0,0 +1,6 @@
{
"title": "Chat-UI",
"description": "Use chat-ui to add a chat interface to your LlamaIndexTS application.",
"defaultOpen": false,
"pages": ["chat", "rsc"]
}
@@ -0,0 +1,68 @@
---
title: Using Next.js RSC
description: Chat interface for your LlamaIndexTS application using Next.js RSC
---
import { ChatDemoRSC } from '../../../../../components/demo/chat/rsc/demo';
import "@llamaindex/chat-ui/styles/code.css";
import "@llamaindex/chat-ui/styles/katex.css";
Using [chat-ui](https://github.com/run-llama/chat-ui), it's easy to add a chat interface to your LlamaIndexTS application using [Next.js RSC](https://nextjs.org/docs/app/building-your-application/rendering/server-components) and [Vercel AI RSC](https://sdk.vercel.ai/docs/ai-sdk-rsc/overview).
With RSC, the chat messages are not returned as JSON from the server (like when using an [API route](./chat)), instead the chat message components are rendered on the server side.
This is for example useful for rendering a whole chat history on the server before sending it to the client. [Check here](https://sdk.vercel.ai/docs/getting-started/navigating-the-library#when-to-use-ai-sdk-rsc), for a discussion of when to use use RSC.
For implementing a chat interface with RSC, you need to create an AI action and then connect the chat interface to use it.
## Create an AI action
First, define an [AI context provider](https://sdk.vercel.ai/examples/rsc/state-management/ai-ui-states) with a chat server action:
```json doc-gen:file
{
"file": "./src/components/demo/chat/rsc/ai-action.tsx",
"codeblock": true
}
```
The chat server action is using LlamaIndexTS to generate a response based on the chat history and the user input.
## Create the chat UI
The entrypoint of our application initializes the AI provider for the application and adds a `ChatSection` component:
```json doc-gen:file
{
"file": "./src/components/demo/chat/rsc/demo.tsx",
"codeblock": true
}
```
The `ChatSection` component is created by using chat components from @llamaindex/chat-ui:
```json doc-gen:file
{
"file": "./src/components/demo/chat/rsc/chat-section.tsx",
"codeblock": true
}
```
It is using a `useChatRSC` hook to conntect the chat interface to the `chat` AI action that we defined earlier:
```json doc-gen:file
{
"file": "./src/components/demo/chat/rsc/use-chat-rsc.tsx",
"codeblock": true
}
```
## Try RSC Chat ⬇️
<ChatDemoRSC />
## Next Steps
The steps above are the bare minimum to get a chat interface working with RSC. From here, you can go two ways:
1. Use our [full-stack RSC example](https://github.com/run-llama/nextjs-rsc) based on [create-llama](https://github.com/run-llama/create-llama) to get started quickly with a fully working chat interface or
2. Learn more about [AI RSC](https://sdk.vercel.ai/examples/rsc), [chat-ui](https://github.com/run-llama/chat-ui) and [LlamaIndexTS](https://github.com/run-llama/llamaindex-ts) to customize the chat interface and AI actions to your needs.
@@ -1,5 +1,5 @@
{
"title": "Integration",
"description": "See our integrations",
"pages": ["open-llm-metry", "lang-trace"]
"pages": ["open-llm-metry", "lang-trace", "vercel"]
}
@@ -0,0 +1,80 @@
---
title: Vercel
description: Integrate LlamaIndex with Vercel's AI SDK
---
LlamaIndex provides integration with Vercel's AI SDK, allowing you to create powerful search and retrieval applications. Below are examples of how to use LlamaIndex with `streamText` from the Vercel AI SDK.
## Setup
First, install the required dependencies:
```bash
npm install @llamaindex/vercel ai
```
## Using Local Vector Store
Here's how to create a simple vector store index and query it using Vercel's AI SDK:
```typescript
import { openai } from "@ai-sdk/openai";
import { llamaindex } from "@llamaindex/vercel";
import { streamText } from "ai";
import { Document, VectorStoreIndex } from "llamaindex";
// Create an index from your documents
const document = new Document({ text: yourText, id_: "unique-id" });
const index = await VectorStoreIndex.fromDocuments([document]);
// Create a query tool
const queryTool = llamaindex({
index,
description: "Search through the documents", // optional
});
// Use the tool with Vercel's AI SDK
streamText({
tools: { queryTool },
prompt: "Your question here",
model: openai("gpt-4"),
onFinish({ response }) {
console.log("Response:", response.messages); // log the response
},
}).toDataStream();
```
## Using LlamaCloud
For production deployments, you can use LlamaCloud to store and manage your documents:
```typescript
import { LlamaCloudIndex } from "llamaindex";
// Create a LlamaCloud index
const index = await LlamaCloudIndex.fromDocuments({
documents: [document],
name: "your-index-name",
projectName: "your-project",
apiKey: process.env.LLAMA_CLOUD_API_KEY,
});
// Use it the same way as VectorStoreIndex
const queryTool = llamaindex({
index,
description: "Search through the documents",
});
// Use the tool with Vercel's AI SDK
streamText({
tools: { queryTool },
prompt: "Your question here",
model: openai("gpt-4"),
}).toDataStream();
```
## Next Steps
1. Explore [LlamaCloud](https://cloud.llamaindex.ai/) for managed document storage and retrieval
2. Join our [Discord community](https://discord.gg/llamaindex) for support and discussions
@@ -37,6 +37,33 @@ Then, you need create `.dev.vars` and add LLM api keys for the local development
<Callout type="warn">Do not commit the api key to git repository.</Callout>
## Integrating with Hono
```ts
import { Hono } from "hono";
type Bindings = {
OPENAI_API_KEY: string;
};
const app = new Hono<{
Bindings: Bindings;
}>();
app.post("/llm", async (c) => {
const { setEnvs } = await import("@llamaindex/env");
setEnvs(c.env);
// ...
return new Response('Hello, world!');
})
export default {
fetch: app.fetch,
};
```
## Difference between Node.js and Cloudflare Worker
In Cloudflare Worker and similar serverless JS environment, you need to be aware of the following differences:
@@ -46,3 +73,7 @@ In Cloudflare Worker and similar serverless JS environment, you need to be aware
- Some of LlamaIndex.TS modules are not available in Cloudflare Worker, for example `SimpleDirectoryReader` (requires `node:fs`), Some multimodal API that relies on [`onnxruntime-node`](https://www.npmjs.com/package/onnxruntime-node)(we might port to HTTP based module in the future).
- `@llamaindex/core` is designed to work in all JavaScript environment, including Cloudflare Worker. If you find any issue, please report to us.
- `@llamaindex/env` is a JS environment binding module, which polyfill some Node.js/Modern Web API (for example, we have a memory based `fs` module, and Crypto API polyfill). It is designed to work in all JavaScript environment, including Cloudflare Worker.
## Known issues
- `llamaindex` not work perfectly in Cloudflare Worker, bundle size will be larger than 1MB, which is the limit of Cloudflare Worker. You will need import submodule instead of the whole `llamaindex` module.
+3
View File
@@ -1 +1,4 @@
POSTGRES_USER=runner
PINECONE_API_KEY=
PINECONE_INDEX_NAME=
PINECONE_NAMESPACE=
+172
View File
@@ -0,0 +1,172 @@
# Logs
logs
_.log
npm-debug.log_
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
# Runtime data
pids
_.pid
_.seed
\*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
\*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
\*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional stylelint cache
.stylelintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
\*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# vuepress v2.x temp and cache directory
.temp
.cache
# Docusaurus cache and generated files
.docusaurus
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.\*
# wrangler project
.dev.vars
.wrangler/
+20
View File
@@ -0,0 +1,20 @@
{
"name": "@llamaindex/cloudflare-hono",
"version": "0.0.0",
"private": true,
"scripts": {
"deploy": "wrangler deploy",
"build": "wrangler deploy --dry-run --outdir dist",
"dev": "wrangler dev",
"start": "wrangler dev",
"cf-typegen": "wrangler types"
},
"devDependencies": {
"@cloudflare/workers-types": "^4.20241112.0",
"typescript": "^5.5.2",
"wrangler": "^3.89.0"
},
"dependencies": {
"hono": "^4.6.11"
}
}
+91
View File
@@ -0,0 +1,91 @@
import { Hono } from "hono";
type Bindings = {
OPENAI_API_KEY: string;
PINECONE_API_KEY: string;
};
const app = new Hono<{
Bindings: Bindings;
}>();
app.post("/llm", async (c) => {
//#region init envs
const { setEnvs } = await import("@llamaindex/env");
setEnvs(c.env);
//#endregion
const { message } = await c.req.json();
const { extractText } = await import("@llamaindex/core/utils");
const {
QueryEngineTool,
serviceContextFromDefaults,
VectorStoreIndex,
OpenAIAgent,
Settings,
OpenAI,
OpenAIEmbedding,
} = await import("llamaindex");
const { PineconeVectorStore } = await import(
"llamaindex/vector-store/PineconeVectorStore"
);
const llm = new OpenAI({
model: "gpt-4o-mini",
apiKey: c.env.OPENAI_API_KEY,
});
Settings.embedModel = new OpenAIEmbedding({
model: "text-embedding-3-small",
apiKey: c.env.OPENAI_API_KEY,
});
const serviceContext = serviceContextFromDefaults({
llm,
chunkSize: 8191,
chunkOverlap: 0,
});
const store = new PineconeVectorStore({
namespace: "8xolsn4ulEQGdhnhP76yCzfLHdOZ",
});
const index = await VectorStoreIndex.fromVectorStore(store, serviceContext);
const retriever = index.asRetriever({
similarityTopK: 3,
});
// Create a query engine
const queryEngine = index.asQueryEngine({
retriever,
});
const tools = [
new QueryEngineTool({
queryEngine: queryEngine,
metadata: {
name: "business_info_tool",
description:
"This tool can answer questions based " +
"on business information. Return not found if you" +
" can't find the answer in the documents.",
},
}),
];
const agent = new OpenAIAgent({ tools });
const response = await agent.chat({
message: message,
});
return new Response(extractText(response.message.content));
});
export default {
fetch: app.fetch,
};
@@ -0,0 +1,39 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
/* Visit https://aka.ms/tsconfig.json to read more about this file */
/* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */
"target": "es2021",
/* Specify a set of bundled library declaration files that describe the target runtime environment. */
"lib": ["es2021", "DOM.AsyncIterable"],
/* Specify what JSX code is generated. */
"jsx": "react-jsx",
/* Specify what module code is generated. */
"module": "es2022",
/* Specify how TypeScript looks up a file from a given module specifier. */
"moduleResolution": "Bundler",
/* Specify type package names to be included without being referenced in a source file. */
"types": ["@cloudflare/workers-types/2023-07-01"],
/* Enable importing .json files */
"resolveJsonModule": true,
/* Allow JavaScript files to be a part of your program. Use the `checkJS` option to get errors from these files. */
"allowJs": true,
/* Enable error reporting in type-checked JavaScript files. */
"checkJs": false,
/* Disable emitting files from a compilation. */
"noEmit": true,
/* Ensure that each file can be safely transpiled without relying on other imports. */
"isolatedModules": true,
/* Allow 'import x from y' when a module doesn't have a default export. */
"allowSyntheticDefaultImports": true,
/* Ensure that casing is correct in imports. */
"forceConsistentCasingInFileNames": true,
/* Enable all strict type-checking options. */
"strict": true,
/* Skip type checking all .d.ts files. */
"skipLibCheck": true
},
"exclude": ["test"],
"include": ["vitest.config.mts", "worker-configuration.d.ts", "src/**/*.ts"]
}
@@ -0,0 +1,4 @@
// Generated by Wrangler by running `wrangler types`
// eslint-disable-next-line @typescript-eslint/no-empty-object-type
interface Env {}
@@ -0,0 +1,7 @@
name = "llamaindex-cloudflare-hono-example"
main = "src/index.ts"
compatibility_date = "2024-11-12"
compatibility_flags = ["nodejs_als"]
[observability]
enabled = true
@@ -1,5 +1,94 @@
# @llamaindex/cloudflare-worker-agent-test
## 0.0.122
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.0.121
### Patch Changes
- llamaindex@0.8.25
## 0.0.120
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.119
### Patch Changes
- llamaindex@0.8.23
## 0.0.118
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.0.117
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.116
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.115
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.0.114
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.0.113
### Patch Changes
- llamaindex@0.8.17
## 0.0.112
### Patch Changes
- llamaindex@0.8.16
## 0.0.111
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.110
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.109
### Patch Changes
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/cloudflare-worker-agent-test",
"version": "0.0.109",
"version": "0.0.122",
"type": "module",
"private": true,
"scripts": {
@@ -12,13 +12,13 @@
"cf-typegen": "wrangler types"
},
"devDependencies": {
"@cloudflare/vitest-pool-workers": "^0.5.8",
"@cloudflare/workers-types": "^4.20240924.0",
"@vitest/runner": "2.1.4",
"@vitest/snapshot": "2.1.4",
"@cloudflare/vitest-pool-workers": "^0.5.28",
"@cloudflare/workers-types": "^4.20241112.0",
"@vitest/runner": "2.1.5",
"@vitest/snapshot": "2.1.5",
"typescript": "^5.6.3",
"vitest": "2.1.4",
"wrangler": "^3.78.8"
"vitest": "2.1.5",
"wrangler": "^3.87.0"
},
"dependencies": {
"llamaindex": "workspace:*"
@@ -1,5 +1,49 @@
# @llamaindex/llama-parse-browser-test
## 0.0.37
### Patch Changes
- @llamaindex/cloud@2.0.17
## 0.0.36
### Patch Changes
- Updated dependencies [8be4589]
- @llamaindex/cloud@2.0.16
## 0.0.35
### Patch Changes
- @llamaindex/cloud@2.0.15
## 0.0.34
### Patch Changes
- @llamaindex/cloud@2.0.14
## 0.0.33
### Patch Changes
- Updated dependencies [90d265c]
- @llamaindex/cloud@2.0.13
## 0.0.32
### Patch Changes
- @llamaindex/cloud@2.0.12
## 0.0.31
### Patch Changes
- @llamaindex/cloud@2.0.11
## 0.0.30
### Patch Changes
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/llama-parse-browser-test",
"private": true,
"version": "0.0.30",
"version": "0.0.37",
"type": "module",
"scripts": {
"dev": "vite",
@@ -10,7 +10,7 @@
},
"devDependencies": {
"typescript": "^5.6.3",
"vite": "^5.4.1",
"vite": "^5.4.11",
"vite-plugin-wasm": "^3.3.0"
},
"dependencies": {
+89
View File
@@ -1,5 +1,94 @@
# @llamaindex/next-agent-test
## 0.1.122
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.1.121
### Patch Changes
- llamaindex@0.8.25
## 0.1.120
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.1.119
### Patch Changes
- llamaindex@0.8.23
## 0.1.118
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.1.117
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.1.116
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.1.115
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.1.114
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.1.113
### Patch Changes
- llamaindex@0.8.17
## 0.1.112
### Patch Changes
- llamaindex@0.8.16
## 0.1.111
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.1.110
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.1.109
### Patch Changes
+7 -7
View File
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/next-agent-test",
"version": "0.1.109",
"version": "0.1.122",
"private": true,
"scripts": {
"dev": "next dev",
@@ -8,9 +8,9 @@
"start": "next start"
},
"dependencies": {
"ai": "^3.3.21",
"ai": "^4.0.0",
"llamaindex": "workspace:*",
"next": "15.0.2",
"next": "15.0.3",
"react": "18.3.1",
"react-dom": "18.3.1"
},
@@ -18,10 +18,10 @@
"@types/node": "^22.9.0",
"@types/react": "^18.3.12",
"@types/react-dom": "^18.3.1",
"eslint": "9.14.0",
"eslint-config-next": "15.0.2",
"postcss": "^8.4.41",
"tailwindcss": "^3.4.10",
"eslint": "9.15.0",
"eslint-config-next": "15.0.3",
"postcss": "^8.4.49",
"tailwindcss": "^3.4.15",
"typescript": "^5.6.3"
}
}
@@ -1,5 +1,94 @@
# test-edge-runtime
## 0.1.121
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.1.120
### Patch Changes
- llamaindex@0.8.25
## 0.1.119
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.1.118
### Patch Changes
- llamaindex@0.8.23
## 0.1.117
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.1.116
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.1.115
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.1.114
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.1.113
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.1.112
### Patch Changes
- llamaindex@0.8.17
## 0.1.111
### Patch Changes
- llamaindex@0.8.16
## 0.1.110
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.1.109
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.1.108
### Patch Changes
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/nextjs-edge-runtime-test",
"version": "0.1.108",
"version": "0.1.121",
"private": true,
"scripts": {
"dev": "next dev",
@@ -9,7 +9,7 @@
},
"dependencies": {
"llamaindex": "workspace:*",
"next": "15.0.2",
"next": "15.0.3",
"react": "^18.3.1",
"react-dom": "^18.3.1"
},
@@ -1,5 +1,94 @@
# @llamaindex/next-node-runtime
## 0.0.103
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.0.102
### Patch Changes
- llamaindex@0.8.25
## 0.0.101
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.100
### Patch Changes
- llamaindex@0.8.23
## 0.0.99
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.0.98
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.97
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.96
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.0.95
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.0.94
### Patch Changes
- llamaindex@0.8.17
## 0.0.93
### Patch Changes
- llamaindex@0.8.16
## 0.0.92
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.91
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.90
### Patch Changes
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/next-node-runtime-test",
"version": "0.0.90",
"version": "0.0.103",
"private": true,
"scripts": {
"dev": "next dev",
@@ -9,7 +9,7 @@
},
"dependencies": {
"llamaindex": "workspace:*",
"next": "15.0.2",
"next": "15.0.3",
"react": "18.3.1",
"react-dom": "18.3.1"
},
@@ -17,10 +17,10 @@
"@types/node": "^22.9.0",
"@types/react": "^18.3.12",
"@types/react-dom": "^18.3.1",
"eslint": "9.14.0",
"eslint-config-next": "15.0.2",
"postcss": "^8.4.41",
"tailwindcss": "^3.4.10",
"eslint": "9.15.0",
"eslint-config-next": "15.0.3",
"postcss": "^8.4.49",
"tailwindcss": "^3.4.15",
"typescript": "^5.6.3"
}
}
@@ -1,5 +1,94 @@
# @llamaindex/waku-query-engine-test
## 0.0.122
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.0.121
### Patch Changes
- llamaindex@0.8.25
## 0.0.120
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.119
### Patch Changes
- llamaindex@0.8.23
## 0.0.118
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.0.117
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.116
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.115
### Patch Changes
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.0.114
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.0.113
### Patch Changes
- llamaindex@0.8.17
## 0.0.112
### Patch Changes
- llamaindex@0.8.16
## 0.0.111
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.110
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.109
### Patch Changes
+6 -6
View File
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/waku-query-engine-test",
"version": "0.0.109",
"version": "0.0.122",
"type": "module",
"private": true,
"scripts": {
@@ -10,16 +10,16 @@
},
"dependencies": {
"llamaindex": "workspace:*",
"react": "19.0.0-rc-bf7e210c-20241017",
"react-dom": "19.0.0-rc-bf7e210c-20241017",
"react-server-dom-webpack": "19.0.0-rc-bf7e210c-20241017",
"waku": "0.21.4"
"react": "19.0.0-rc-5c56b873-20241107",
"react-dom": "19.0.0-rc-5c56b873-20241107",
"react-server-dom-webpack": "19.0.0-rc-5c56b873-20241107",
"waku": "0.21.6"
},
"devDependencies": {
"@types/react": "18.3.12",
"@types/react-dom": "18.3.1",
"autoprefixer": "^10.4.20",
"tailwindcss": "^3.4.14",
"tailwindcss": "^3.4.15",
"typescript": "5.6.3"
}
}
+66
View File
@@ -0,0 +1,66 @@
import { Document, MetadataMode } from "@llamaindex/core/schema";
import { config } from "dotenv";
import {
OpenAIEmbedding,
PineconeVectorStore,
VectorStoreIndex,
} from "llamaindex";
import assert from "node:assert";
import { test } from "node:test";
config({ path: [".env.local", ".env", ".env.ci"] });
await test("pinecone", async (t) => {
if (
!process.env.PINECONE_API_KEY ||
!process.env.PINECONE_NAMESPACE ||
!process.env.PINECONE_INDEX_NAME
) {
return t.skip(
"PINECONE_API_KEY, PINECONE_NAMESPACE, and PINECONE_INDEX_NAME must be set to run this test",
);
}
const openaiEmbedding = new OpenAIEmbedding({
model: "text-embedding-3-large",
});
const vectorStore = new PineconeVectorStore({
embeddingModel: openaiEmbedding,
});
t.after(async () => {
await vectorStore.clearIndex();
});
const index = await VectorStoreIndex.fromVectorStore(vectorStore);
const retriever = index.asRetriever({
similarityTopK: 3,
});
const text = "We are open from 9am to 5pm";
await vectorStore.add([
new Document({
text,
embedding: await openaiEmbedding.getTextEmbedding(text),
}),
]);
const results = await retriever.retrieve({
query: "When are you open?",
});
results.every((result) => {
assert.ok(result.node.embedding instanceof Array);
result.node.embedding.every((embedding, idx) =>
assert.ok(
typeof embedding === "number",
`Embedding at index ${idx} should be a number`,
),
);
assert.ok(typeof result.score === "number", "Score should be a number");
assert.ok(
result.node.getContent(MetadataMode.NONE).length > 0,
"Content should not be empty",
);
});
});
+30
View File
@@ -1,5 +1,35 @@
# examples
## 0.0.19
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
- llamaindex@0.8.26
- @llamaindex/vercel@0.0.4
- @llamaindex/readers@1.0.19
## 0.0.18
### Patch Changes
- Updated dependencies [7e8230b]
- Updated dependencies [8be4589]
- @llamaindex/readers@1.0.18
- @llamaindex/core@0.4.16
- @llamaindex/vercel@0.0.3
- @llamaindex/workflow@0.0.7
- llamaindex@0.8.25
## 0.0.17
### Patch Changes
- fd38a25: Add vercel tool adapter to use query engine tool
- Updated dependencies [fd38a25]
- @llamaindex/vercel@0.0.2
## 0.0.16
### Patch Changes
-8
View File
@@ -83,14 +83,6 @@ async function query() {
});
}
// configure the Azure CosmosDB NoSQL Vector Store
const dbConfig: AzureCosmosDBNoSQLConfig = {
client: cosmosClient,
databaseName,
containerName,
flatMetadata: false,
};
// use Azure CosmosDB as a vectorStore, docStore, and indexStore
const { vectorStore, docStore, indexStore } = await initializeStores();
+9 -6
View File
@@ -1,24 +1,27 @@
{
"name": "@llamaindex/examples",
"private": true,
"version": "0.0.16",
"version": "0.0.19",
"dependencies": {
"@ai-sdk/openai": "^1.0.5",
"@aws-crypto/sha256-js": "^5.2.0",
"@azure/cosmos": "^4.1.1",
"@azure/identity": "^4.4.1",
"@datastax/astra-db-ts": "^1.4.1",
"@llamaindex/core": "^0.4.10",
"@llamaindex/readers": "^1.0.11",
"@llamaindex/workflow": "^0.0.6",
"@llamaindex/core": "^0.4.17",
"@llamaindex/readers": "^1.0.19",
"@llamaindex/workflow": "^0.0.7",
"@llamaindex/vercel": "^0.0.4",
"@notionhq/client": "^2.2.15",
"@pinecone-database/pinecone": "^3.0.2",
"@pinecone-database/pinecone": "^4.0.0",
"@vercel/postgres": "^0.10.0",
"@zilliz/milvus2-sdk-node": "^2.4.6",
"ai": "^4.0.0",
"chromadb": "^1.8.1",
"commander": "^12.1.0",
"dotenv": "^16.4.5",
"js-tiktoken": "^1.0.14",
"llamaindex": "^0.8.13",
"llamaindex": "^0.8.26",
"mongodb": "^6.7.0",
"pathe": "^1.1.2",
"postgres": "^3.4.4"
+2 -1
View File
@@ -15,7 +15,8 @@
"start:llamaparse-dir": "node --import tsx ./src/simple-directory-reader-with-llamaparse.ts",
"start:llamaparse-json": "node --import tsx ./src/llamaparse-json.ts",
"start:discord": "node --import tsx ./src/discord.ts",
"start:json": "node --import tsx ./src/json.ts"
"start:json": "node --import tsx ./src/json.ts",
"start:obsidian": "node --import tsx ./src/obsidian.ts"
},
"dependencies": {
"@llamaindex/readers": "*",
+12
View File
@@ -0,0 +1,12 @@
import { ObsidianReader } from "@llamaindex/readers/obsidian";
const obsidianReader = new ObsidianReader(
"/Users/jingyi/Documents/jingyi-vault",
);
obsidianReader.loadData().then((documents) => {
console.log("documents:", documents.length);
documents.forEach((doc) => {
console.log(`document (${doc.id_}):`, doc.getText());
});
});
+50
View File
@@ -0,0 +1,50 @@
# Vercel Examples
These examples demonstrate how to integrate LlamaIndexTS with Vercel's AI SDK. The examples show how to use LlamaIndex for search and retrieval in both local vector store and LlamaCloud environments.
## Setup
To run these examples, first install the required dependencies from the parent folder `examples`:
```bash
npm i
```
## Running the Examples
Make sure to run the examples from the parent folder called `examples`. The following examples are available:
### Vector Store Example
Run the local vector store example with:
```bash
npx tsx vercel/vector-store.ts
```
This example demonstrates:
- Creating a vector store index from one document
- Using Vercel's AI SDK with LlamaIndex for streaming responses
### LlamaCloud Example
To run the LlamaCloud example:
```bash
npx tsx vercel/llamacloud.ts
```
This example requires a LlamaCloud API key set in your environment and an embedding model set in the `EMBEDDING_MODEL` environment variable:
```bash
export LLAMA_CLOUD_API_KEY=your_api_key_here
export EMBEDDING_MODEL="text-embedding-3-small"
```
The example demonstrates:
- Creating a LlamaCloud index from one document
- Streaming responses using Vercel's AI SDK
For more detailed information about the Vercel integration, check out [the documentation](https://ts.llamaindex.ai/docs/llamaindex/integration/vercel).
+38
View File
@@ -0,0 +1,38 @@
import { openai } from "@ai-sdk/openai";
import { llamaindex } from "@llamaindex/vercel";
import { streamText } from "ai";
import { Document, LlamaCloudIndex } from "llamaindex";
import fs from "node:fs/promises";
async function main() {
const path = "node_modules/llamaindex/examples/abramov.txt";
const essay = await fs.readFile(path, "utf-8");
const document = new Document({ text: essay, id_: path });
const index = await LlamaCloudIndex.fromDocuments({
documents: [document],
name: "test-pipeline",
projectName: "Default",
apiKey: process.env.LLAMA_CLOUD_API_KEY,
});
console.log("Successfully created index");
const result = streamText({
model: openai("gpt-4o"),
prompt: "Cost of moving cat from Russia to UK?",
tools: {
queryTool: llamaindex({
index,
description:
"get information from your knowledge base to answer questions.", // optional description
}),
},
maxSteps: 5,
});
for await (const textPart of result.textStream) {
process.stdout.write(textPart);
}
}
main().catch(console.error);
+34
View File
@@ -0,0 +1,34 @@
import { openai } from "@ai-sdk/openai";
import { llamaindex } from "@llamaindex/vercel";
import { streamText } from "ai";
import { Document, VectorStoreIndex } from "llamaindex";
import fs from "node:fs/promises";
async function main() {
const path = "node_modules/llamaindex/examples/abramov.txt";
const essay = await fs.readFile(path, "utf-8");
const document = new Document({ text: essay, id_: path });
const index = await VectorStoreIndex.fromDocuments([document]);
console.log("Successfully created index");
const result = streamText({
model: openai("gpt-4o"),
prompt: "Cost of moving cat from Russia to UK?",
tools: {
queryTool: llamaindex({
index,
description:
"get information from your knowledge base to answer questions.", // optional description
}),
},
maxSteps: 5,
});
for await (const textPart of result.textStream) {
process.stdout.write(textPart);
}
}
main().catch(console.error);
+8 -8
View File
@@ -2,8 +2,8 @@
"name": "@llamaindex/monorepo",
"private": true,
"scripts": {
"build": "turbo run build --filter=\"./packages/*\"",
"dev": "turbo run dev --filter=\"./packages/*\"",
"build": "turbo run build --filter=\"./packages/*\" --filter=\"./packages/providers/*\"",
"dev": "turbo run dev --filter=\"./packages/*\" --filter=\"./packages/providers/*\"",
"format": "prettier --ignore-unknown --cache --check .",
"format:write": "prettier --ignore-unknown --write .",
"lint": "turbo run lint",
@@ -19,20 +19,20 @@
},
"devDependencies": {
"@changesets/cli": "^2.27.5",
"eslint": "9.14.0",
"eslint-config-next": "^15.0.2",
"eslint": "9.15.0",
"eslint-config-next": "^15.0.3",
"eslint-config-prettier": "^9.1.0",
"eslint-config-turbo": "^2.2.3",
"eslint-config-turbo": "^2.3.0",
"eslint-plugin-react": "7.37.2",
"globals": "^15.12.0",
"husky": "^9.1.6",
"husky": "^9.1.7",
"lint-staged": "^15.2.10",
"madge": "^8.0.0",
"prettier": "^3.3.3",
"prettier-plugin-organize-imports": "^4.1.0",
"turbo": "^2.2.3",
"turbo": "^2.3.0",
"typescript": "^5.6.3",
"typescript-eslint": "^8.13.0"
"typescript-eslint": "^8.15.0"
},
"packageManager": "pnpm@9.12.3",
"lint-staged": {
+92
View File
@@ -1,5 +1,97 @@
# @llamaindex/autotool
## 5.0.26
### Patch Changes
- 3d1808b: chore: bump version
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 5.0.25
### Patch Changes
- 8be4589: chore: bump version
- llamaindex@0.8.25
## 5.0.24
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 5.0.23
### Patch Changes
- llamaindex@0.8.23
## 5.0.22
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 5.0.21
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 5.0.20
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 5.0.19
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 5.0.18
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 5.0.17
### Patch Changes
- llamaindex@0.8.17
## 5.0.16
### Patch Changes
- llamaindex@0.8.16
## 5.0.15
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 5.0.14
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 5.0.13
### Patch Changes
@@ -1,5 +1,108 @@
# @llamaindex/autotool-01-node-example
## 0.0.69
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/autotool@5.0.26
- llamaindex@0.8.26
## 0.0.68
### Patch Changes
- Updated dependencies [8be4589]
- @llamaindex/autotool@5.0.25
- llamaindex@0.8.25
## 0.0.67
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
- @llamaindex/autotool@5.0.24
## 0.0.66
### Patch Changes
- llamaindex@0.8.23
- @llamaindex/autotool@5.0.23
## 0.0.65
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
- @llamaindex/autotool@5.0.22
## 0.0.64
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
- @llamaindex/autotool@5.0.21
## 0.0.63
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
- @llamaindex/autotool@5.0.20
## 0.0.62
### Patch Changes
- Updated dependencies [90d265c]
- @llamaindex/autotool@5.0.19
- llamaindex@0.8.19
## 0.0.61
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
- @llamaindex/autotool@5.0.18
## 0.0.60
### Patch Changes
- llamaindex@0.8.17
- @llamaindex/autotool@5.0.17
## 0.0.59
### Patch Changes
- llamaindex@0.8.16
- @llamaindex/autotool@5.0.16
## 0.0.58
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
- @llamaindex/autotool@5.0.15
## 0.0.57
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
- @llamaindex/autotool@5.0.14
## 0.0.56
### Patch Changes
@@ -5,7 +5,7 @@
"dependencies": {
"@llamaindex/autotool": "workspace:*",
"llamaindex": "workspace:*",
"openai": "^4.57.0"
"openai": "^4.73.1"
},
"devDependencies": {
"tsx": "^4.19.0"
@@ -13,5 +13,5 @@
"scripts": {
"start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
},
"version": "0.0.56"
"version": "0.0.69"
}
@@ -1,5 +1,108 @@
# @llamaindex/autotool-02-next-example
## 0.1.113
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/autotool@5.0.26
- llamaindex@0.8.26
## 0.1.112
### Patch Changes
- Updated dependencies [8be4589]
- @llamaindex/autotool@5.0.25
- llamaindex@0.8.25
## 0.1.111
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
- @llamaindex/autotool@5.0.24
## 0.1.110
### Patch Changes
- llamaindex@0.8.23
- @llamaindex/autotool@5.0.23
## 0.1.109
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
- @llamaindex/autotool@5.0.22
## 0.1.108
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
- @llamaindex/autotool@5.0.21
## 0.1.107
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
- @llamaindex/autotool@5.0.20
## 0.1.106
### Patch Changes
- Updated dependencies [90d265c]
- @llamaindex/autotool@5.0.19
- llamaindex@0.8.19
## 0.1.105
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
- @llamaindex/autotool@5.0.18
## 0.1.104
### Patch Changes
- llamaindex@0.8.17
- @llamaindex/autotool@5.0.17
## 0.1.103
### Patch Changes
- llamaindex@0.8.16
- @llamaindex/autotool@5.0.16
## 0.1.102
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
- @llamaindex/autotool@5.0.15
## 0.1.101
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
- @llamaindex/autotool@5.0.14
## 0.1.100
### Patch Changes
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/autotool-02-next-example",
"private": true,
"version": "0.1.100",
"version": "0.1.113",
"scripts": {
"dev": "next dev",
"build": "next build",
@@ -10,17 +10,17 @@
"dependencies": {
"@llamaindex/autotool": "workspace:*",
"@radix-ui/react-slot": "^1.1.0",
"ai": "^3.3.21",
"ai": "^4.0.0",
"class-variance-authority": "^0.7.0",
"dotenv": "^16.3.1",
"llamaindex": "workspace:*",
"lucide-react": "^0.436.0",
"next": "15.0.2",
"lucide-react": "^0.460.0",
"next": "15.0.3",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-markdown": "^9.0.1",
"react-syntax-highlighter": "^15.5.0",
"sonner": "^1.5.0",
"sonner": "^1.7.0",
"tailwind-merge": "^2.5.2"
},
"devDependencies": {
@@ -30,8 +30,8 @@
"@types/react-syntax-highlighter": "^15.5.11",
"autoprefixer": "^10.4.20",
"cross-env": "^7.0.3",
"postcss": "^8.4.41",
"tailwindcss": "^3.4.10",
"postcss": "^8.4.49",
"tailwindcss": "^3.4.15",
"typescript": "^5.6.3"
}
}
+7 -7
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/autotool",
"type": "module",
"version": "5.0.13",
"version": "5.0.26",
"description": "auto transpile your JS function to LLM Agent compatible",
"files": [
"dist",
@@ -45,10 +45,10 @@
"dev": "bunchee --watch"
},
"dependencies": {
"@swc/core": "^1.7.22",
"jotai": "2.8.4",
"@swc/core": "^1.9.2",
"jotai": "2.10.2",
"typedoc": "^0.26.11",
"unplugin": "^1.12.2"
"unplugin": "^1.16.0"
},
"peerDependencies": {
"llamaindex": "workspace:*",
@@ -72,11 +72,11 @@
"@types/node": "^22.9.0",
"bunchee": "5.6.1",
"llamaindex": "workspace:*",
"next": "15.0.2",
"rollup": "^4.24.4",
"next": "15.0.3",
"rollup": "^4.27.3",
"tsx": "^4.19.0",
"typescript": "^5.6.3",
"vitest": "^2.1.4",
"vitest": "^2.1.5",
"webpack": "^5.94.0"
}
}
+1 -1
View File
@@ -22,7 +22,7 @@ export type InfoString = {
parameterMapping: Record<string, number>;
};
export const store = createStore();
export const store: ReturnType<typeof createStore> = createStore();
export const toolMetadataAtom = atom<[ToolMetadata, Info][]>([]);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
export const toolsAtom = atom<Record<string, (...args: any[]) => any>>({});
+55
View File
@@ -1,5 +1,60 @@
# @llamaindex/cloud
## 2.0.17
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
## 2.0.16
### Patch Changes
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
- @llamaindex/core@0.4.16
- @llamaindex/env@0.1.24
## 2.0.15
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
- @llamaindex/core@0.4.15
## 2.0.14
### Patch Changes
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
- @llamaindex/core@0.4.14
## 2.0.13
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/core@0.4.13
- @llamaindex/env@0.1.21
## 2.0.12
### Patch Changes
- Updated dependencies [ef4f63d]
- @llamaindex/core@0.4.12
## 2.0.11
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
## 2.0.10
### Patch Changes
+3 -3
View File
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/cloud",
"version": "2.0.10",
"version": "2.0.17",
"type": "module",
"license": "MIT",
"scripts": {
@@ -50,8 +50,8 @@
"directory": "packages/cloud"
},
"devDependencies": {
"@hey-api/client-fetch": "^0.4.2",
"@hey-api/openapi-ts": "^0.54.3",
"@hey-api/client-fetch": "^0.4.4",
"@hey-api/openapi-ts": "^0.56.0",
"@llamaindex/core": "workspace:*",
"@llamaindex/env": "workspace:*",
"bunchee": "5.6.1"
+55
View File
@@ -1,5 +1,60 @@
# @llamaindex/community
## 0.0.75
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
## 0.0.74
### Patch Changes
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
- @llamaindex/core@0.4.16
- @llamaindex/env@0.1.24
## 0.0.73
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
- @llamaindex/core@0.4.15
## 0.0.72
### Patch Changes
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
- @llamaindex/core@0.4.14
## 0.0.71
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/core@0.4.13
- @llamaindex/env@0.1.21
## 0.0.70
### Patch Changes
- Updated dependencies [ef4f63d]
- @llamaindex/core@0.4.12
## 0.0.69
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
## 0.0.68
### Patch Changes
+3 -3
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/community",
"description": "Community package for LlamaIndexTS",
"version": "0.0.68",
"version": "0.0.75",
"type": "module",
"types": "dist/type/index.d.ts",
"main": "dist/cjs/index.js",
@@ -46,8 +46,8 @@
"bunchee": "5.6.1"
},
"dependencies": {
"@aws-sdk/client-bedrock-agent-runtime": "^3.642.0",
"@aws-sdk/client-bedrock-runtime": "^3.642.0",
"@aws-sdk/client-bedrock-agent-runtime": "^3.693.0",
"@aws-sdk/client-bedrock-runtime": "^3.693.0",
"@llamaindex/core": "workspace:*",
"@llamaindex/env": "workspace:*"
}
+48
View File
@@ -1,5 +1,53 @@
# @llamaindex/core
## 0.4.17
### Patch Changes
- 3d1808b: chore: bump version
## 0.4.16
### Patch Changes
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
- @llamaindex/env@0.1.24
## 0.4.15
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
## 0.4.14
### Patch Changes
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
## 0.4.13
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/env@0.1.21
## 0.4.12
### Patch Changes
- ef4f63d: refactor: move mockLLM to core
## 0.4.11
### Patch Changes
- 6d22fa2: Get PromptTemplate template variables at run-time
## 0.4.10
### Patch Changes
+3 -3
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/core",
"type": "module",
"version": "0.4.10",
"version": "0.4.17",
"description": "LlamaIndex Core Module",
"exports": {
"./agent": {
@@ -389,10 +389,10 @@
"url": "https://github.com/run-llama/LlamaIndexTS.git"
},
"devDependencies": {
"@edge-runtime/vm": "^4.0.3",
"@edge-runtime/vm": "^4.0.4",
"ajv": "^8.17.1",
"bunchee": "5.6.1",
"happy-dom": "^15.11.0",
"happy-dom": "^15.11.6",
"natural": "^8.0.1"
},
"dependencies": {
+5 -8
View File
@@ -369,7 +369,9 @@ export abstract class AgentRunner<
verbose: boolean | undefined = undefined,
chatHistory?: ChatMessage<AdditionalMessageOptions>[],
additionalChatOptions?: AdditionalChatOptions,
) {
): ReadableStream<
TaskStepOutput<AI, Store, AdditionalMessageOptions, AdditionalChatOptions>
> {
const initialMessages = [...(chatHistory ?? this.#chatHistory)];
if (this.#systemPrompt !== null) {
const systemPrompt = this.#systemPrompt;
@@ -453,14 +455,9 @@ export abstract class AgentRunner<
const { output } = stepOutput;
if (output instanceof ReadableStream) {
return output.pipeThrough(
new TransformStream<EngineResponse>({
new TransformStream({
transform(chunk, controller) {
controller.enqueue(
EngineResponse.fromChatResponseChunk(
chunk,
chunk.sourceNodes,
),
);
controller.enqueue(EngineResponse.fromChatResponseChunk(chunk));
},
}),
);
+13
View File
@@ -32,6 +32,10 @@ export abstract class BasePromptTemplate<
const Vars extends readonly string[] = string[],
> {
metadata: Metadata = {};
/**
* Set of template variables used in the prompt template. Used for type hints only.
* To get the list of template variables used in the prompt at run-time, use the `vars` method.
*/
templateVars: Set<string> = new Set();
options: Partial<Record<TemplatesVar[number] | (string & {}), string>> = {};
outputParser: BaseOutputParser | undefined;
@@ -223,4 +227,13 @@ export class PromptTemplate<
get template(): Template {
return this.#template;
}
/**
* Returns all the template variables used in the prompt template.
*/
vars(): string[] {
const template = this.template;
const matches = template.match(/\{([^}]+)\}/g) || [];
return [...new Set(matches.map((match) => match.slice(1, -1)))];
}
}
+1
View File
@@ -76,6 +76,7 @@ export {
extractText,
imageToDataUrl,
messagesToHistory,
MockLLM,
toToolDescriptions,
} from "./llms";
+88
View File
@@ -2,6 +2,15 @@ import { fs } from "@llamaindex/env";
import { filetypemime } from "magic-bytes.js";
import type {
ChatMessage,
ChatResponse,
ChatResponseChunk,
CompletionResponse,
LLM,
LLMChatParamsNonStreaming,
LLMChatParamsStreaming,
LLMCompletionParamsNonStreaming,
LLMCompletionParamsStreaming,
LLMMetadata,
MessageContent,
MessageContentDetail,
MessageContentTextDetail,
@@ -143,3 +152,82 @@ export async function imageToDataUrl(
}
return await blobToDataUrl(input);
}
export class MockLLM implements LLM {
metadata: LLMMetadata;
options: {
timeBetweenToken: number;
responseMessage: string;
};
constructor(options?: {
timeBetweenToken?: number;
responseMessage?: string;
metadata?: LLMMetadata;
}) {
this.options = {
timeBetweenToken: options?.timeBetweenToken ?? 20,
responseMessage: options?.responseMessage ?? "This is a mock response",
};
this.metadata = options?.metadata ?? {
model: "MockLLM",
temperature: 0.5,
topP: 0.5,
contextWindow: 1024,
tokenizer: undefined,
};
}
chat(
params: LLMChatParamsStreaming<object, object>,
): Promise<AsyncIterable<ChatResponseChunk>>;
chat(
params: LLMChatParamsNonStreaming<object, object>,
): Promise<ChatResponse<object>>;
async chat(
params:
| LLMChatParamsStreaming<object, object>
| LLMChatParamsNonStreaming<object, object>,
): Promise<AsyncIterable<ChatResponseChunk> | ChatResponse<object>> {
const responseMessage = this.options.responseMessage;
const timeBetweenToken = this.options.timeBetweenToken;
if (params.stream) {
return (async function* () {
for (const char of responseMessage) {
yield { delta: char, raw: {} };
await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
}
})();
}
return {
message: { content: responseMessage, role: "assistant" },
raw: {},
};
}
async complete(
params: LLMCompletionParamsStreaming,
): Promise<AsyncIterable<CompletionResponse>>;
async complete(
params: LLMCompletionParamsNonStreaming,
): Promise<CompletionResponse>;
async complete(
params: LLMCompletionParamsStreaming | LLMCompletionParamsNonStreaming,
): Promise<AsyncIterable<CompletionResponse> | CompletionResponse> {
const responseMessage = this.options.responseMessage;
const timeBetweenToken = this.options.timeBetweenToken;
if (params.stream) {
return (async function* () {
for (const char of responseMessage) {
yield { delta: char, text: char, raw: {} };
await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
}
})();
}
return { text: responseMessage, raw: {} };
}
}
+1 -1
View File
@@ -7,6 +7,6 @@
},
"devDependencies": {
"@llamaindex/core": "workspace:*",
"vitest": "^2.1.4"
"vitest": "^2.1.5"
}
}
+11
View File
@@ -158,4 +158,15 @@ describe("PromptTemplate", () => {
const formatted = prompt.format({ text: "world", foo: "bar" });
expect(formatted).toBe("hello world bar\noutput_instruction");
});
test("should return all unique template vars of a prompt", () => {
const prompt = new PromptTemplate({
template: "Hello {name}! Your age is {age}. Nice to meet you {name}!",
});
const vars = prompt.vars();
expect(vars).toHaveLength(2);
expect(vars).toContain("name");
expect(vars).toContain("age");
});
});
+24
View File
@@ -1,5 +1,29 @@
# @llamaindex/env
## 0.1.24
### Patch Changes
- 8be4589: chore: bump version
## 0.1.23
### Patch Changes
- d2b2722: fix: switch tokenizer in cloudflare
## 0.1.22
### Patch Changes
- 969365c: fix: async local storage on cloudflare worker
## 0.1.21
### Patch Changes
- 90d265c: chore: bump version
## 0.1.20
### Patch Changes
+4 -4
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/env",
"description": "environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker",
"version": "0.1.20",
"version": "0.1.24",
"type": "module",
"types": "dist/index.d.ts",
"module": "dist/index.js",
@@ -122,13 +122,13 @@
"test": "vitest"
},
"devDependencies": {
"@huggingface/transformers": "^3.0.2",
"@types/node": "^22.9.0",
"@types/readable-stream": "^4.0.15",
"@huggingface/transformers": "^3.0.2",
"bunchee": "5.6.1",
"gpt-tokenizer": "^2.6.0",
"gpt-tokenizer": "^2.6.2",
"pathe": "^1.1.2",
"vitest": "^2.1.4"
"vitest": "^2.1.5"
},
"peerDependencies": {
"@aws-crypto/sha256-js": "^5.2.0",
+1
View File
@@ -0,0 +1 @@
export { AsyncLocalStorage } from "node:async_hooks";
+1 -1
View File
@@ -7,7 +7,7 @@
*/
import { INTERNAL_ENV } from "./utils/index.js";
export * from "./als/index.non-node.js";
export * from "./als/index.workerd.js";
export { NotSupportCurrentRuntimeClass } from "./utils/shared.js";
export * from "./node-polyfill.js";
+1 -1
View File
@@ -2,4 +2,4 @@ export {
Tokenizers,
tokenizers,
type Tokenizer,
} from "./internal/tokenizers/js.js";
} from "./internal/tokenizers/node.js";
+91
View File
@@ -1,5 +1,96 @@
# @llamaindex/experimental
## 0.0.138
### Patch Changes
- Updated dependencies [3d1808b]
- llamaindex@0.8.26
## 0.0.137
### Patch Changes
- 8be4589: chore: bump version
- llamaindex@0.8.25
## 0.0.136
### Patch Changes
- Updated dependencies [515f2c1]
- llamaindex@0.8.24
## 0.0.135
### Patch Changes
- llamaindex@0.8.23
## 0.0.134
### Patch Changes
- Updated dependencies [819af45]
- llamaindex@0.8.22
## 0.0.133
### Patch Changes
- Updated dependencies [83c3897]
- Updated dependencies [efa2211]
- llamaindex@0.8.21
## 0.0.132
### Patch Changes
- Updated dependencies [02b22da]
- llamaindex@0.8.20
## 0.0.131
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- llamaindex@0.8.19
## 0.0.130
### Patch Changes
- Updated dependencies [d17450f]
- llamaindex@0.8.18
## 0.0.129
### Patch Changes
- llamaindex@0.8.17
## 0.0.128
### Patch Changes
- llamaindex@0.8.16
## 0.0.127
### Patch Changes
- Updated dependencies [3d503cb]
- Updated dependencies [5dae534]
- llamaindex@0.8.15
## 0.0.126
### Patch Changes
- Updated dependencies [630b425]
- llamaindex@0.8.14
## 0.0.125
### Patch Changes
+2 -2
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/experimental",
"description": "Experimental package for LlamaIndexTS",
"version": "0.0.125",
"version": "0.0.138",
"type": "module",
"types": "dist/type/index.d.ts",
"main": "dist/cjs/index.js",
@@ -57,7 +57,7 @@
"devDependencies": {
"@aws-crypto/sha256-js": "^5.2.0",
"@swc/cli": "^0.5.0",
"@swc/core": "^1.7.22",
"@swc/core": "^1.9.2",
"@types/jsonpath": "^0.2.4",
"concurrently": "^9.1.0",
"pathe": "^1.1.2"
+188
View File
@@ -1,5 +1,193 @@
# llamaindex
## 0.8.26
### Patch Changes
- 3d1808b: chore: bump version
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
- @llamaindex/openai@0.1.42
- @llamaindex/cloud@2.0.17
- @llamaindex/node-parser@0.0.18
- @llamaindex/anthropic@0.0.26
- @llamaindex/clip@0.0.26
- @llamaindex/deepinfra@0.0.26
- @llamaindex/huggingface@0.0.26
- @llamaindex/ollama@0.0.33
- @llamaindex/portkey-ai@0.0.26
- @llamaindex/replicate@0.0.26
- @llamaindex/readers@1.0.19
- @llamaindex/groq@0.0.41
- @llamaindex/vllm@0.0.12
## 0.8.25
### Patch Changes
- Updated dependencies [7e8230b]
- Updated dependencies [8be4589]
- @llamaindex/readers@1.0.18
- @llamaindex/cloud@2.0.16
- @llamaindex/core@0.4.16
- @llamaindex/env@0.1.24
- @llamaindex/node-parser@0.0.17
- @llamaindex/anthropic@0.0.25
- @llamaindex/clip@0.0.25
- @llamaindex/deepinfra@0.0.25
- @llamaindex/groq@0.0.40
- @llamaindex/huggingface@0.0.25
- @llamaindex/ollama@0.0.32
- @llamaindex/openai@0.1.41
- @llamaindex/portkey-ai@0.0.25
- @llamaindex/replicate@0.0.25
- @llamaindex/vllm@0.0.11
## 0.8.24
### Patch Changes
- 515f2c1: Add vector store for CosmosDB
## 0.8.23
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
- @llamaindex/cloud@2.0.15
- @llamaindex/core@0.4.15
- @llamaindex/node-parser@0.0.16
- @llamaindex/anthropic@0.0.24
- @llamaindex/clip@0.0.24
- @llamaindex/deepinfra@0.0.24
- @llamaindex/groq@0.0.39
- @llamaindex/huggingface@0.0.24
- @llamaindex/ollama@0.0.31
- @llamaindex/openai@0.1.40
- @llamaindex/portkey-ai@0.0.24
- @llamaindex/replicate@0.0.24
- @llamaindex/readers@1.0.17
- @llamaindex/vllm@0.0.10
## 0.8.22
### Patch Changes
- 819af45: feat: add Azure Cosmos DB Mongo vCore ChatStore
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
- @llamaindex/cloud@2.0.14
- @llamaindex/core@0.4.14
- @llamaindex/node-parser@0.0.15
- @llamaindex/anthropic@0.0.23
- @llamaindex/clip@0.0.23
- @llamaindex/deepinfra@0.0.23
- @llamaindex/groq@0.0.38
- @llamaindex/huggingface@0.0.23
- @llamaindex/ollama@0.0.30
- @llamaindex/openai@0.1.39
- @llamaindex/portkey-ai@0.0.23
- @llamaindex/replicate@0.0.23
- @llamaindex/readers@1.0.16
- @llamaindex/vllm@0.0.9
## 0.8.21
### Patch Changes
- 83c3897: fix: pinecone vector store search
- efa2211: feat: add Azure Cosmos DB mongo vCore DocumentStore, IndexStore, KVStore
## 0.8.20
### Patch Changes
- 02b22da: fix: supports Vercel bundling
## 0.8.19
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/cloud@2.0.13
- @llamaindex/core@0.4.13
- @llamaindex/env@0.1.21
- @llamaindex/node-parser@0.0.14
- @llamaindex/readers@1.0.15
- @llamaindex/anthropic@0.0.22
- @llamaindex/groq@0.0.37
- @llamaindex/ollama@0.0.29
- @llamaindex/openai@0.1.38
- @llamaindex/portkey-ai@0.0.22
- @llamaindex/clip@0.0.22
- @llamaindex/deepinfra@0.0.22
- @llamaindex/huggingface@0.0.22
- @llamaindex/replicate@0.0.22
- @llamaindex/vllm@0.0.8
## 0.8.18
### Patch Changes
- d17450f: fix: rename from serverComponentsExternalPackages to serverExternalPackages
- Updated dependencies [ef4f63d]
- @llamaindex/core@0.4.12
- @llamaindex/cloud@2.0.12
- @llamaindex/node-parser@0.0.13
- @llamaindex/anthropic@0.0.21
- @llamaindex/clip@0.0.21
- @llamaindex/deepinfra@0.0.21
- @llamaindex/huggingface@0.0.21
- @llamaindex/ollama@0.0.28
- @llamaindex/openai@0.1.37
- @llamaindex/portkey-ai@0.0.21
- @llamaindex/replicate@0.0.21
- @llamaindex/readers@1.0.14
- @llamaindex/groq@0.0.36
- @llamaindex/vllm@0.0.7
## 0.8.17
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
- @llamaindex/cloud@2.0.11
- @llamaindex/node-parser@0.0.12
- @llamaindex/anthropic@0.0.20
- @llamaindex/clip@0.0.20
- @llamaindex/deepinfra@0.0.20
- @llamaindex/huggingface@0.0.20
- @llamaindex/ollama@0.0.27
- @llamaindex/openai@0.1.36
- @llamaindex/portkey-ai@0.0.20
- @llamaindex/replicate@0.0.20
- @llamaindex/readers@1.0.13
- @llamaindex/groq@0.0.35
- @llamaindex/vllm@0.0.6
## 0.8.16
### Patch Changes
- Updated dependencies [e60328b]
- @llamaindex/readers@1.0.12
## 0.8.15
### Patch Changes
- 3d503cb: Update azure cosmos db
- 5dae534: fix: propagate queryStr to concrete vectorStore
## 0.8.14
### Patch Changes
- 630b425: feat: add Azure CosmosDB NoSql Chat store
## 0.8.13
### Patch Changes
+24 -14
View File
@@ -1,6 +1,6 @@
{
"name": "llamaindex",
"version": "0.8.13",
"version": "0.8.26",
"license": "MIT",
"type": "module",
"keywords": [
@@ -20,15 +20,15 @@
"llamaindex"
],
"dependencies": {
"@anthropic-ai/sdk": "0.27.1",
"@anthropic-ai/sdk": "0.32.1",
"@aws-crypto/sha256-js": "^5.2.0",
"@aws-sdk/client-sso-oidc": "^3.679.0",
"@aws-sdk/client-sso-oidc": "^3.693.0",
"@azure/cosmos": "^4.1.1",
"@azure/identity": "^4.4.1",
"@datastax/astra-db-ts": "^1.4.1",
"@discoveryjs/json-ext": "^0.6.1",
"@google-cloud/vertexai": "1.2.0",
"@google/generative-ai": "0.12.0",
"@google-cloud/vertexai": "1.9.0",
"@google/generative-ai": "0.21.0",
"@grpc/grpc-js": "^1.12.2",
"@llamaindex/anthropic": "workspace:*",
"@llamaindex/clip": "workspace:*",
@@ -45,9 +45,9 @@
"@llamaindex/readers": "workspace:*",
"@llamaindex/replicate": "workspace:*",
"@llamaindex/vllm": "workspace:*",
"@mistralai/mistralai": "^1.0.4",
"@mistralai/mistralai": "^1.3.4",
"@mixedbread-ai/sdk": "^2.2.11",
"@pinecone-database/pinecone": "^3.0.2",
"@pinecone-database/pinecone": "^4.0.0",
"@qdrant/js-client-rest": "^1.11.0",
"@types/lodash": "^4.17.7",
"@types/node": "^22.9.0",
@@ -55,20 +55,20 @@
"@upstash/vector": "^1.1.5",
"@zilliz/milvus2-sdk-node": "^2.4.6",
"ajv": "^8.17.1",
"assemblyai": "^4.7.0",
"assemblyai": "^4.8.0",
"chromadb": "1.9.2",
"chromadb-default-embed": "^2.13.2",
"cohere-ai": "7.13.0",
"gpt-tokenizer": "^2.6.0",
"groq-sdk": "^0.6.1",
"cohere-ai": "7.14.0",
"gpt-tokenizer": "^2.6.2",
"groq-sdk": "^0.8.0",
"js-tiktoken": "^1.0.14",
"lodash": "^4.17.21",
"magic-bytes.js": "^1.10.0",
"mongodb": "^6.7.0",
"openai": "^4.60.0",
"openai": "^4.73.1",
"pathe": "^1.1.2",
"rake-modified": "^1.0.8",
"weaviate-client": "^3.1.4",
"weaviate-client": "^3.2.3",
"wikipedia": "^2.1.2",
"wink-nlp": "^2.3.0",
"zod": "^3.23.8"
@@ -88,7 +88,7 @@
"devDependencies": {
"@huggingface/transformers": "^3.0.2",
"@swc/cli": "^0.5.0",
"@swc/core": "^1.7.22",
"@swc/core": "^1.9.2",
"@vercel/postgres": "^0.10.0",
"concurrently": "^9.1.0",
"glob": "^11.0.0",
@@ -125,6 +125,16 @@
"default": "./dist/cjs/index.js"
}
},
"./next": {
"import": {
"types": "./dist/type/next.d.ts",
"default": "./dist/next.js"
},
"require": {
"types": "./dist/type/next.d.ts",
"default": "./dist/cjs/next.js"
}
},
"./register": "./register.js",
"./internal/*": {
"import": "./dist/not-allow.js",
@@ -18,6 +18,7 @@ import {
type NodeWithScore,
} from "@llamaindex/core/schema";
import type { BaseIndexStore } from "@llamaindex/core/storage/index-store";
import { extractText } from "@llamaindex/core/utils";
import type { ServiceContext } from "../../ServiceContext.js";
import { nodeParserFromSettingsOrContext } from "../../Settings.js";
import { RetrieverQueryEngine } from "../../engines/query/RetrieverQueryEngine.js";
@@ -449,8 +450,13 @@ export class VectorIndexRetriever extends BaseRetriever {
filters?: MetadataFilters,
): Promise<NodeWithScore[]> {
// convert string message to multi-modal format
let queryStr = query;
if (typeof query === "string") {
query = [{ type: "text", text: query }];
queryStr = query;
query = [{ type: "text", text: queryStr }];
} else {
queryStr = extractText(query);
}
// overwrite embed model if specified, otherwise use the one from the vector store
const embedModel = this.index.embedModel ?? vectorStore.embedModel;
@@ -460,6 +466,7 @@ export class VectorIndexRetriever extends BaseRetriever {
const queryEmbedding = await embedModel.getQueryEmbedding(item);
if (queryEmbedding) {
const result = await vectorStore.query({
queryStr,
queryEmbedding,
mode: VectorStoreQueryMode.DEFAULT,
similarityTopK: this.topK[type]!,
+2 -1
View File
@@ -4,6 +4,7 @@ import {
HarmBlockThreshold,
HarmCategory,
type SafetySetting,
SchemaType,
} from "@google/generative-ai";
import { type GenerateContentResponse } from "@google-cloud/vertexai";
@@ -161,7 +162,7 @@ export const mapBaseToolToGeminiFunctionDeclaration = (
tool: BaseTool,
): FunctionDeclaration => {
const parameters: FunctionDeclarationSchema = {
type: tool.metadata.parameters?.type.toUpperCase(),
type: tool.metadata.parameters?.type.toLowerCase() as SchemaType,
properties: tool.metadata.parameters?.properties,
description: tool.metadata.parameters?.description,
required: tool.metadata.parameters?.required,
+19 -6
View File
@@ -15,15 +15,28 @@
*
* @module
*/
import { createRequire } from "node:module";
const require = createRequire(import.meta.url);
const nextJsVersion: string = require("next/package.json").version;
const is14OrLower =
nextJsVersion.startsWith("14.") || nextJsVersion.startsWith("13.");
// eslint-disable-next-line @typescript-eslint/no-explicit-any
export default function withLlamaIndex(config: any) {
config.experimental = config.experimental ?? {};
// needed for transformers, see https://huggingface.co/docs/transformers.js/en/tutorials/next#step-2-install-and-configure-transformersjs
config.experimental.serverComponentsExternalPackages =
config.experimental.serverComponentsExternalPackages ?? [];
config.experimental.serverComponentsExternalPackages.push(
"@huggingface/transformers",
);
if (is14OrLower) {
config.experimental.serverComponentsExternalPackages =
config.experimental.serverComponentsExternalPackages ?? [];
config.experimental.serverComponentsExternalPackages.push(
"@huggingface/transformers",
);
} else {
config.serverExternalPackages = config.serverExternalPackages ?? [];
config.serverExternalPackages.push("@huggingface/transformers");
}
const userWebpack = config.webpack;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
config.webpack = function (webpackConfig: any, options: any) {
+1
View File
@@ -15,5 +15,6 @@ export * from "@llamaindex/readers/json";
export * from "@llamaindex/readers/markdown";
export * from "@llamaindex/readers/mongo";
export * from "@llamaindex/readers/notion";
export * from "@llamaindex/readers/obsidian";
export * from "@llamaindex/readers/pdf";
export * from "@llamaindex/readers/text";
@@ -0,0 +1,186 @@
/* eslint-disable @typescript-eslint/no-explicit-any */
import type {
ChatMessage,
MessageContent,
MessageType,
} from "@llamaindex/core/llms";
import { BaseChatStore } from "@llamaindex/core/storage/chat-store";
import type { Collection } from "mongodb";
import { MongoClient } from "mongodb";
const DEFAULT_CHAT_DATABASE = "ChatStoreDB";
const DEFAULT_CHAT_Collection = "ChatStoreCollection";
export interface AzureCosmosVCoreChatStoreConfig {
mongoClient?: MongoClient;
dbName?: string;
collectionName?: string;
}
export class AzureCosmosVCoreChatStore<
AdditionalMessageOptions extends object = object,
> extends BaseChatStore<AdditionalMessageOptions> {
private mongoClient: MongoClient;
private dbName: string;
private collectionName: string;
private collection?: Collection;
/**
* Create a new AzureCosmosVCoreChatStore instance.
*/
constructor({
mongoClient,
dbName = DEFAULT_CHAT_DATABASE,
collectionName = DEFAULT_CHAT_Collection,
}: AzureCosmosVCoreChatStoreConfig) {
super();
if (!mongoClient) {
throw new Error(
"MongoClient is required for AzureCosmosVCoreChatStore initialization",
);
}
this.mongoClient = mongoClient;
this.dbName = dbName;
this.collectionName = collectionName;
}
static fromMongoClient(
mongoClient: MongoClient,
dbName: string = DEFAULT_CHAT_DATABASE,
collectionName: string = DEFAULT_CHAT_Collection,
) {
return new AzureCosmosVCoreChatStore({
mongoClient,
dbName,
collectionName,
});
}
client(): MongoClient {
return this.mongoClient;
}
private convertToChatMessage(
// eslint-disable-next-line @typescript-eslint/no-explicit-any
message: any,
): ChatMessage<AdditionalMessageOptions> {
return {
content: message.content as MessageContent,
role: message.role as MessageType,
options: message.options as AdditionalMessageOptions,
} as ChatMessage<AdditionalMessageOptions>;
}
private convertTovCoreMessage(
message: ChatMessage<AdditionalMessageOptions>,
): // eslint-disable-next-line @typescript-eslint/no-explicit-any
any {
return {
content: message.content,
role: message.role,
options: message.options,
};
}
private async ensureCollection(): Promise<Collection> {
if (!this.collection) {
this.collection = this.mongoClient
.db(this.dbName)
.collection(this.collectionName);
}
return this.collection;
}
/**
* Set messages for a given key.
*/
async setMessages(
key: string,
messages: ChatMessage<AdditionalMessageOptions>[],
): Promise<void> {
const collection = await this.ensureCollection();
const inputMessages = messages.map(this.convertTovCoreMessage);
await collection.updateOne(
{ id: key },
{ $set: { messages: inputMessages } },
{ upsert: true },
);
}
/**
* Get messages for a given key.
*/
async getMessages(
key: string,
): Promise<ChatMessage<AdditionalMessageOptions>[]> {
const collection = await this.ensureCollection();
const res = await collection.findOne({
id: key,
});
const messageHistory = res?.messages ?? [];
const result = messageHistory.map(this.convertToChatMessage);
return result;
}
/**
* Add a message for a given key.
*/
async addMessage(
key: string,
message: ChatMessage<AdditionalMessageOptions>,
idx?: number,
): Promise<void> {
const collection = await this.ensureCollection();
const res = await this.getMessages(key);
const messageHistory = res.map(this.convertTovCoreMessage) ?? [];
messageHistory.splice(
idx ?? messageHistory.length,
0,
this.convertTovCoreMessage(message),
);
await collection.updateOne(
{ id: key },
{ $set: { messages: messageHistory } },
{ upsert: true },
);
}
/**
* Deletes all messages for a given key.
*/
async deleteMessages(key: string): Promise<void> {
const collection = await this.ensureCollection();
try {
await collection.deleteOne({ id: key });
// eslint-disable-next-line no-empty
} catch (e) {}
}
/**
* Deletes one message at idx index for a given key.
*/
async deleteMessage(key: string, idx: number): Promise<void> {
// const collection = await this.ensureCollection();
const messageHistory = await this.getMessages(key);
if (idx >= 0 && idx < messageHistory.length) {
messageHistory.splice(idx, 1);
await this.setMessages(key, messageHistory);
}
}
/**
* Get all keys.
*/
async getKeys(): Promise<IterableIterator<string>> {
const collection = await this.ensureCollection();
const keys = await collection.distinct("id");
function* keyGenerator(): IterableIterator<string> {
for (const key of keys) {
yield key;
}
}
return keyGenerator();
}
}
@@ -0,0 +1,345 @@
import { CosmosClient, type Container, type Database } from "@azure/cosmos";
import { DefaultAzureCredential, type TokenCredential } from "@azure/identity";
import type {
ChatMessage,
MessageContent,
MessageType,
} from "@llamaindex/core/llms";
import { BaseChatStore } from "@llamaindex/core/storage/chat-store";
import { getEnv } from "@llamaindex/env";
const USER_AGENT_SUFFIX = "llamaindex-cdbnosql-chatstore-javascript";
const DEFAULT_CHAT_DATABASE = "ChatMessagesDB";
const DEFAULT_CHAT_CONTAINER = "ChatMessagesContainer";
const DEFAULT_OFFER_THROUGHPUT = 400;
function parseConnectionString(connectionString: string): {
endpoint: string;
key: string;
} {
const parts = connectionString.split(";");
let endpoint = "";
let accountKey = "";
parts.forEach((part) => {
const [key, value] = part.split("=");
if (key && key.trim() === "AccountEndpoint") {
endpoint = value?.trim() ?? "";
} else if ((key ?? "").trim() === "AccountKey") {
accountKey = value?.trim() ?? "";
}
});
if (!endpoint || !accountKey) {
throw new Error(
"Invalid connection string: missing AccountEndpoint or AccountKey.",
);
}
return { endpoint, key: accountKey };
}
export interface AzureCosmosChatDatabaseProperties {
throughput?: number;
}
export interface AzureCosmosChatContainerProperties {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
[key: string]: any;
}
export interface AzureCosmosNoSqlChatStoreConfig {
cosmosClient?: CosmosClient;
dbName?: string;
containerName?: string;
userId?: string;
sessionId?: string;
cosmosContainerProperties?: AzureCosmosChatContainerProperties;
cosmosDatabaseProperties?: AzureCosmosChatDatabaseProperties;
ttlInSeconds?: number;
}
export class AzureCosmosNoSqlChatStore<
AdditionalMessageOptions extends object = object,
> extends BaseChatStore<AdditionalMessageOptions> {
private userId: string;
private ttl: number;
private cosmosClient: CosmosClient;
private database!: Database;
private container!: Container;
private initPromise?: Promise<void>;
private dbName: string;
private containerName: string;
private cosmosContainerProperties: AzureCosmosChatContainerProperties;
private cosmosDatabaseProperties: AzureCosmosChatDatabaseProperties;
private initialize: () => Promise<void>;
constructor({
cosmosClient,
dbName = DEFAULT_CHAT_DATABASE,
containerName = DEFAULT_CHAT_CONTAINER,
cosmosContainerProperties = { partitionKey: "/userId" },
cosmosDatabaseProperties = {},
ttlInSeconds = -1,
}: AzureCosmosNoSqlChatStoreConfig) {
super();
if (!cosmosClient) {
throw new Error(
"CosmosClient is required for AzureCosmosDBNoSQLChatStore initialization",
);
}
this.ttl = ttlInSeconds;
this.userId = cosmosContainerProperties.userId || "anonymous";
this.cosmosClient = cosmosClient;
this.dbName = dbName;
this.containerName = containerName;
this.cosmosContainerProperties = cosmosContainerProperties;
this.cosmosDatabaseProperties = cosmosDatabaseProperties;
this.initialize = () => {
if (this.initPromise === undefined) {
this.initPromise = this.init().catch((error) => {
console.error(
"Error during AzureCosmosDBNoSQLChatStore initialization",
error,
);
});
}
return this.initPromise;
};
}
client(): CosmosClient {
return this.cosmosClient;
}
// Asynchronous initialization method to create database and container
private async init(): Promise<void> {
// Set default throughput if not provided
const throughput =
this.cosmosDatabaseProperties?.throughput || DEFAULT_OFFER_THROUGHPUT;
// Create the database if it doesn't exist
const { database } = await this.cosmosClient.databases.createIfNotExists({
id: this.dbName,
throughput,
});
this.database = database;
// Create the container if it doesn't exist
const { container } = await this.database.containers.createIfNotExists({
id: this.containerName,
throughput: this.cosmosContainerProperties?.throughput,
partitionKey: "/userId",
indexingPolicy: this.cosmosContainerProperties?.indexingPolicy,
defaultTtl: this.ttl,
uniqueKeyPolicy: this.cosmosContainerProperties?.uniqueKeyPolicy,
conflictResolutionPolicy:
this.cosmosContainerProperties?.conflictResolutionPolicy,
computedProperties: this.cosmosContainerProperties?.computedProperties,
});
this.container = container;
}
/**
* Static method for creating an instance using a connection string.
* If no connection string is provided, it will attempt to use the env variable `AZURE_COSMOSDB_NOSQL_CONNECTION_STRING` as connection string.
* @returns Instance of AzureCosmosNoSqlKVStore
*/
static fromConnectionString(
config: {
connectionString?: string;
} & AzureCosmosNoSqlChatStoreConfig = {},
): AzureCosmosNoSqlChatStore {
const cosmosConnectionString =
config.connectionString ||
(getEnv("AZURE_COSMOSDB_NOSQL_CONNECTION_STRING") as string);
if (!cosmosConnectionString) {
throw new Error("Azure CosmosDB connection string must be provided");
}
const { endpoint, key } = parseConnectionString(cosmosConnectionString);
const cosmosClient = new CosmosClient({
endpoint,
key,
userAgentSuffix: USER_AGENT_SUFFIX,
});
return new AzureCosmosNoSqlChatStore({
...config,
cosmosClient,
});
}
/**
* Static method for creating an instance using a account endpoint and key.
* If no endpoint and key is provided, it will attempt to use the env variable `AZURE_COSMOSDB_NOSQL_ACCOUNT_ENDPOINT` as enpoint and `AZURE_COSMOSDB_NOSQL_ACCOUNT_KEY` as key.
* @returns Instance of AzureCosmosNoSqlKVStore
*/
static fromAccountAndKey(
config: {
endpoint?: string;
key?: string;
} & AzureCosmosNoSqlChatStoreConfig = {},
): AzureCosmosNoSqlChatStore {
const cosmosEndpoint =
config.endpoint ||
(getEnv("AZURE_COSMOSDB_NOSQL_ACCOUNT_ENDPOINT") as string);
const cosmosKey =
config.key || (getEnv("AZURE_COSMOSDB_NOSQL_ACCOUNT_KEY") as string);
if (!cosmosEndpoint || !cosmosKey) {
throw new Error(
"Azure CosmosDB account endpoint and key must be provided",
);
}
const cosmosClient = new CosmosClient({
endpoint: cosmosEndpoint,
key: cosmosKey,
userAgentSuffix: USER_AGENT_SUFFIX,
});
return new AzureCosmosNoSqlChatStore({
...config,
cosmosClient,
});
}
/**
* Static method for creating an instance using AAD token.
* If no endpoint and credentials are provided, it will attempt to use the env variable `AZURE_COSMOSDB_NOSQL_ACCOUNT_ENDPOINT` as endpoint and use DefaultAzureCredential() as credentials.
* @returns Instance of AzureCosmosNoSqlKVStore
*/
static fromAadToken(
config: {
endpoint?: string;
credential?: TokenCredential;
} & AzureCosmosNoSqlChatStoreConfig = {},
): AzureCosmosNoSqlChatStore {
const cosmosEndpoint =
config.endpoint ||
(getEnv("AZURE_COSMOSDB_NOSQL_CONNECTION_STRING") as string);
if (!cosmosEndpoint) {
throw new Error("Azure CosmosDB account endpoint must be provided");
}
const credentials = config.credential ?? new DefaultAzureCredential();
const cosmosClient = new CosmosClient({
endpoint: cosmosEndpoint,
aadCredentials: credentials,
userAgentSuffix: USER_AGENT_SUFFIX,
});
return new AzureCosmosNoSqlChatStore({
...config,
cosmosClient,
});
}
private convertToChatMessage(
// eslint-disable-next-line @typescript-eslint/no-explicit-any
message: any,
): ChatMessage<AdditionalMessageOptions> {
return {
content: message.content as MessageContent,
role: message.role as MessageType,
options: message.options as AdditionalMessageOptions,
} as ChatMessage<AdditionalMessageOptions>;
}
private convertToCosmosMessage(
message: ChatMessage<AdditionalMessageOptions>,
): // eslint-disable-next-line @typescript-eslint/no-explicit-any
any {
return {
content: message.content,
role: message.role,
options: message.options,
};
}
/**
* Set messages for a given key.
*/
async setMessages(
key: string,
messages: ChatMessage<AdditionalMessageOptions>[],
): Promise<void> {
await this.initialize();
const inputMessages = messages.map(this.convertToCosmosMessage);
await this.container.items.upsert({
id: key,
messages: inputMessages,
userId: this.userId,
});
}
/**
* Get messages for a given key.
*/
async getMessages(
key: string,
): Promise<ChatMessage<AdditionalMessageOptions>[]> {
await this.initialize();
const res = await this.container.item(key, this.userId).read();
const messageHistory = res?.resource?.messages ?? [];
const result = messageHistory.map(this.convertToChatMessage);
return result;
}
/**
* Add a message for a given key.
*/
async addMessage(
key: string,
message: ChatMessage<AdditionalMessageOptions>,
idx?: number,
): Promise<void> {
await this.initialize();
const res = await this.container.item(key, this.userId).read();
const messageHistory = res?.resource?.messages ?? [];
if (idx === undefined) {
messageHistory.push(this.convertToCosmosMessage(message));
} else {
messageHistory.splice(idx, 0, this.convertToCosmosMessage(message));
}
await this.setMessages(key, messageHistory);
}
/**
* Deletes all messages for a given key.
*/
async deleteMessages(key: string): Promise<void> {
await this.initialize();
try {
await this.container.item(key, this.userId).delete();
// eslint-disable-next-line no-empty
} catch (e) {}
}
/**
* Deletes one message at idx index for a given key.
*/
async deleteMessage(key: string, idx: number): Promise<void> {
await this.initialize();
const res = await this.container.item(key, this.userId).read();
const messageHistory = res?.resource?.messages ?? [];
if (idx >= 0 && idx < messageHistory.length) {
messageHistory.splice(idx, 1);
await this.setMessages(key, messageHistory);
}
}
/**
* Get all keys.
*/
async getKeys(): Promise<IterableIterator<string>> {
await this.initialize();
const result = await this.container.items
.query("Select c.id from c")
.fetchAll();
const keys = result.resources.map((res: { id: string }) => res.id);
function* keyGenerator(): IterableIterator<string> {
for (const key of keys) {
yield key;
}
}
return keyGenerator();
}
}
@@ -0,0 +1,49 @@
import { MongoClient } from "mongodb";
import { AzureCosmosVCoreKVStore } from "../kvStore/AzureCosmosMongovCoreKVStore.js";
import { KVDocumentStore } from "./KVDocumentStore.js";
const DEFAULT_DATABASE = "DocumentStoreDB";
const DEFAULT_COLLECTION = "DocumentStoreCollection";
export interface AzureCosmosVCoreDocumentStoreArgs {
azureCosmosVCoreKVStore: AzureCosmosVCoreKVStore;
namespace?: string;
}
export class AzureCosmosVCoreDocumentStore extends KVDocumentStore {
constructor({
azureCosmosVCoreKVStore,
namespace,
}: AzureCosmosVCoreDocumentStoreArgs) {
super(azureCosmosVCoreKVStore, namespace);
}
/**
* Static method for creating an instance using a MongoClient.
* @returns Instance of AzureCosmosVCoreDocumentStore
* @param mongoClient - MongoClient instance
* @param dbName - Database name
* @param collectionName - Collection name
* @example
* ```ts
* const mongoClient = new MongoClient("mongodb://localhost:27017");
* const indexStore = AzureCosmosVCoreDocumentStore.fromMongoClient(mongoClient, "my_db", "my_collection");
* ```
*/
static fromMongoClient(
mongoClient: MongoClient,
dbName: string = DEFAULT_DATABASE,
collectionName: string = DEFAULT_COLLECTION,
) {
const azureCosmosVCoreKVStore = new AzureCosmosVCoreKVStore({
mongoClient,
dbName,
collectionName,
});
const namespace = `${dbName}.${collectionName}`;
return new AzureCosmosVCoreDocumentStore({
azureCosmosVCoreKVStore,
namespace,
});
}
}
+5
View File
@@ -2,12 +2,17 @@ export * from "@llamaindex/core/storage/chat-store";
export * from "@llamaindex/core/storage/doc-store";
export * from "@llamaindex/core/storage/index-store";
export * from "@llamaindex/core/storage/kv-store";
export * from "./chatStore/AzureCosmosMongovCoreChatStore.js";
export * from "./chatStore/AzureCosmosNoSqlChatStore.js";
export * from "./docStore/AzureCosmosMongovCoreDocumentStore.js";
export * from "./docStore/AzureCosmosNoSqlDocumentStore.js";
export { PostgresDocumentStore } from "./docStore/PostgresDocumentStore.js";
export { SimpleDocumentStore } from "./docStore/SimpleDocumentStore.js";
export * from "./FileSystem.js";
export * from "./indexStore/AzureCosmosMongovCoreIndexStore.js";
export * from "./indexStore/AzureCosmosNoSqlIndexStore.js";
export { PostgresIndexStore } from "./indexStore/PostgresIndexStore.js";
export * from "./kvStore/AzureCosmosMongovCoreKVStore.js";
export * from "./kvStore/AzureCosmosNoSqlKVStore.js";
export { PostgresKVStore } from "./kvStore/PostgresKVStore.js";
export * from "./StorageContext.js";
@@ -0,0 +1,49 @@
import { MongoClient } from "mongodb";
import { AzureCosmosVCoreKVStore } from "../kvStore/AzureCosmosMongovCoreKVStore.js";
import { KVIndexStore } from "./KVIndexStore.js";
const DEFAULT_DATABASE = "IndexStoreDB";
const DEFAULT_COLLECTION = "IndexStoreCollection";
export interface AzureCosmosVCoreIndexStoreArgs {
azureCosmosVCoreKVStore: AzureCosmosVCoreKVStore;
namespace?: string;
}
export class AzureCosmosVCoreIndexStore extends KVIndexStore {
constructor({
azureCosmosVCoreKVStore,
namespace,
}: AzureCosmosVCoreIndexStoreArgs) {
super(azureCosmosVCoreKVStore, namespace);
}
/**
* Static method for creating an instance using a MongoClient.
* @returns Instance of AzureCosmosVCoreIndexStore
* @param mongoClient - MongoClient instance
* @param dbName - Database name
* @param collectionName - Collection name
* @example
* ```ts
* const mongoClient = new MongoClient("mongodb://localhost:27017");
* const indexStore = AzureCosmosVCoreIndexStore.fromMongoClient(mongoClient, "my_db", "my_collection");
* ```
*/
static fromMongoClient(
mongoClient: MongoClient,
dbName: string = DEFAULT_DATABASE,
collectionName: string = DEFAULT_COLLECTION,
) {
const azureCosmosVCoreKVStore = new AzureCosmosVCoreKVStore({
mongoClient,
dbName,
collectionName,
});
const namespace = `${dbName}.${collectionName}`;
return new AzureCosmosVCoreIndexStore({
azureCosmosVCoreKVStore,
namespace,
});
}
}
@@ -0,0 +1,88 @@
/* eslint-disable @typescript-eslint/no-explicit-any */
import { BaseKVStore } from "@llamaindex/core/storage/kv-store";
import type { Collection } from "mongodb";
import { MongoClient } from "mongodb";
const DEFAULT_CHAT_DATABASE = "KVStoreDB";
const DEFAULT_CHAT_Collection = "KVStoreCollection";
export interface VcoreConnectionStringOptions
extends AzureCosmosVCoreKVStoreConfig {
connectionString?: string;
}
export interface AzureCosmosVCoreKVStoreConfig {
mongoClient?: MongoClient;
dbName?: string;
collectionName?: string;
}
export class AzureCosmosVCoreKVStore extends BaseKVStore {
private mongoClient: MongoClient;
private dbName: string;
private collectionName: string;
private collection?: Collection;
/**
* Create a new AzureCosmosDBNoSQLVectorStore instance.
*/
constructor({
mongoClient,
dbName = DEFAULT_CHAT_DATABASE,
collectionName = DEFAULT_CHAT_Collection,
}: AzureCosmosVCoreKVStoreConfig) {
super();
if (!mongoClient) {
throw new Error(
"MongoClient is required for AzureCosmosDBNoSQLVectorStore initialization",
);
}
this.mongoClient = mongoClient;
this.dbName = dbName;
this.collectionName = collectionName;
}
client(): MongoClient {
return this.mongoClient;
}
private async ensureCollection(): Promise<Collection> {
if (!this.collection) {
this.collection = this.mongoClient
.db(this.dbName)
.collection(this.collectionName);
}
return this.collection;
}
async put(key: string, val: Record<string, any>): Promise<void> {
const collection = await this.ensureCollection();
const insertResult = await collection.insertOne({
id: key,
messages: val,
});
}
async get(key: string): Promise<Record<string, any> | null> {
const collection = await this.ensureCollection();
const result = await collection.findOne({ id: key });
return result || null;
}
async getAll(): Promise<Record<string, Record<string, any>>> {
const collection = await this.ensureCollection();
const cursor = collection.find();
const output: Record<string, Record<string, any>> = {};
await cursor.forEach((item) => {
output[item.id] = item.messages;
});
return output;
}
async delete(key: string): Promise<boolean> {
const collection = await this.ensureCollection();
await collection.deleteOne({ id: key });
return true;
}
}
@@ -3,7 +3,7 @@ import { Container, CosmosClient, Database } from "@azure/cosmos";
import { DefaultAzureCredential, type TokenCredential } from "@azure/identity";
import { BaseKVStore } from "@llamaindex/core/storage/kv-store";
import { getEnv } from "@llamaindex/env";
const USER_AGENT_SUFFIX = "LlamaIndex-CDBNoSQL-KVStore-JavaScript";
const USER_AGENT_SUFFIX = "llamaindex-cdbnosql-kvstore-javascript";
const DEFAULT_CHAT_DATABASE = "KVStoreDB";
const DEFAULT_CHAT_CONTAINER = "KVStoreContainer";
const DEFAULT_OFFER_THROUGHPUT = 400;
@@ -82,7 +82,7 @@ export class AzureCosmosNoSqlKVStore extends BaseKVStore {
super();
if (!cosmosClient) {
throw new Error(
"CosmosClient is required for AzureCosmosDBNoSQLVectorStore initialization",
"CosmosClient is required for AzureCosmosDBNoSQLKVStore initialization",
);
}
this.cosmosClient = cosmosClient;
@@ -0,0 +1,328 @@
import type { BaseNode } from "@llamaindex/core/schema";
import { MetadataMode } from "@llamaindex/core/schema";
import { getEnv } from "@llamaindex/env";
import { Collection, Db, MongoClient } from "mongodb";
import {
BaseVectorStore,
type VectorStoreBaseParams,
type VectorStoreQuery,
type VectorStoreQueryResult,
} from "./types.js";
import { metadataDictToNode, nodeToMetadata } from "./utils.js";
/** Azure Cosmos DB for MongoDB vCore Similarity type. */
export const AzureCosmosDBMongoDBSimilarityType = {
/** Cosine similarity */
COS: "COS",
/** Inner - product */
IP: "IP",
/** Euclidian distance */
L2: "L2",
} as const;
/** Azure Cosmos DB for MongoDB vCore Similarity type. */
export type AzureCosmosDBMongoDBSimilarityType =
(typeof AzureCosmosDBMongoDBSimilarityType)[keyof typeof AzureCosmosDBMongoDBSimilarityType];
/** Azure Cosmos DB for MongoDB vCore Index Options. */
export type AzureCosmosDBMongoDBIndexOptions = {
readonly indexType?: "ivf" | "hnsw" | "diskann" | undefined;
/** Number of clusters that the inverted file (IVF) index uses to group the vector data. */
readonly numLists?: number | undefined;
/** Number of dimensions for vector similarity. */
readonly dimensions?: number | undefined;
/** Similarity metric to use with the IVF index. */
readonly similarity?: AzureCosmosDBMongoDBSimilarityType | undefined;
/** The max number of connections per layer with the HNSW index. */
readonly m?: number | undefined;
/** The size of the dynamic candidate list for constructing the graph with the HNSW index. */
readonly efConstruction?: number | undefined;
/** Max number of neighbors withe the Diskann idnex */
readonly maxDegree?: number | undefined;
/** L value for index building withe the Diskann idnex */
readonly lBuild?: number | undefined;
/** L value for index searching withe the Diskann idnex */
readonly lSearch?: number | undefined;
};
/**
* Azure Cosmos DB for MongoDB vCore vector store.
* To use this, you should have both:
* - the `mongodb` NPM package installed
* - a connection string associated with a MongoDB VCore Cluster
*
* You do not need to create a database or collection, it will be created
* automatically.
*
* You also need an index on the collection, which is by default be created
* automatically using the `createIndex` method.
*/
export class AzureCosmosDBMongoDBVectorStore extends BaseVectorStore {
storesText: boolean = true;
flatMetadata: boolean = true;
dbName: string;
collectionName: string;
indexedMetadataFields: string[];
/**
* The used MongoClient. If not given, a new MongoClient is created based on the MONGODB_URI env variable.
*/
mongodbClient: MongoClient;
indexName: string;
embeddingKey: string;
idKey: string;
textKey: string;
metadataKey: string;
indexOptions: AzureCosmosDBMongoDBIndexOptions;
private collection?: Collection;
private database: Db;
constructor(
init: Partial<AzureCosmosDBMongoDBVectorStore> & {
dbName: string;
collectionName: string;
indexedMetadataFields?: string[];
} & VectorStoreBaseParams,
) {
super(init);
if (init.mongodbClient) {
this.mongodbClient = init.mongodbClient;
} else {
const mongoUri = getEnv("AZURE_COSMOSDB_MONGODB_CONNECTION_STRING");
if (!mongoUri) {
throw new Error(
"AzureCosmosDBMongoDBVectorStore client or connection string must be set.",
);
}
this.mongodbClient = new MongoClient(mongoUri);
}
this.dbName = init.dbName ?? "documentsDB";
this.collectionName = init.collectionName ?? "documents";
this.indexedMetadataFields = init.indexedMetadataFields ?? [];
this.indexName = init.indexName ?? "vectorSearchIndex";
this.embeddingKey = init.embeddingKey ?? "vectorContent";
this.idKey = init.idKey ?? "id";
this.textKey = init.textKey ?? "text";
this.metadataKey = init.metadataKey ?? "metadata";
this.indexOptions = init.indexOptions ?? {};
this.database = this.mongodbClient.db(this.dbName);
}
client() {
return this.mongodbClient;
}
async ensureCollection() {
if (!this.collection) {
const collection = await this.mongodbClient
.db(this.dbName)
.createCollection(this.collectionName);
this.collection = collection;
}
return this.collection;
}
async add(nodes: BaseNode[]): Promise<string[]> {
if (!nodes || nodes.length === 0) {
return [];
}
const dataToInsert = nodes.map((node) => {
const metadata = nodeToMetadata(
node,
true,
this.textKey,
this.flatMetadata,
);
// Include the specified metadata fields in the top level of the document (to help filter)
const populatedMetadata: Record<string, unknown> = {};
for (const field of this.indexedMetadataFields) {
populatedMetadata[field] = metadata[field];
}
return {
[this.idKey]: node.id_,
[this.embeddingKey]: node.getEmbedding(),
[this.textKey]: node.getContent(MetadataMode.NONE) || "",
[this.metadataKey]: metadata,
...populatedMetadata,
};
});
const collection = await this.ensureCollection();
const insertResult = await collection.insertMany(dataToInsert);
return Object.values(insertResult.insertedIds).map((id) => String(id));
}
/**
* Removes specified documents from the AzureCosmosDBMongoDBVectorStore.
* @param params Parameters for the delete operation.
* @returns A promise that resolves when the documents have been removed.
*/
async delete(id: string, deleteOptions?: object): Promise<void> {
const collection = await this.ensureCollection();
await collection.deleteMany(
{
id: id,
},
deleteOptions,
);
}
async query(
query: VectorStoreQuery,
options?: object,
): Promise<VectorStoreQueryResult> {
const pipeline = [
{
$search: {
cosmosSearch: {
vector: query.queryEmbedding,
path: this.embeddingKey,
k: query.similarityTopK ?? 4,
},
returnStoredSource: true,
},
},
];
const collection = await this.ensureCollection();
const cursor = await collection.aggregate(pipeline);
const nodes: BaseNode[] = [];
const ids: string[] = [];
const similarities: number[] = [];
for await (const res of await cursor) {
const text = res[this.textKey];
const score = res.score;
const id = res[this.idKey];
const metadata = res[this.metadataKey];
const node = metadataDictToNode(metadata);
node.setContent(text);
ids.push(id);
nodes.push(node);
similarities.push(score);
}
const result = {
nodes,
similarities,
ids,
};
return result;
}
/**
* Creates an index on the collection with the specified index name during
* instance construction.
*
* Setting the numLists parameter correctly is important for achieving good
* accuracy and performance.
* Since the vector store uses IVF as the indexing strategy, you should
* create the index only after you have loaded a large enough sample
* documents to ensure that the centroids for the respective buckets are
* faily distributed.
*
* @param indexType Index Type for Mongo vCore index.
* @param dimensions Number of dimensions for vector similarity.
* The maximum number of supported dimensions is 2000.
* If no number is provided, it will be determined automatically by
* embedding a short text.
* @param similarity Similarity metric to use with the IVF index.
* Possible options are:
* - CosmosDBSimilarityType.COS (cosine distance)
* - CosmosDBSimilarityType.L2 (Euclidean distance)
* - CosmosDBSimilarityType.IP (inner product)
* @returns A promise that resolves when the index has been created.
*/
async createIndex(
dimensions: number | undefined = undefined,
indexType: "ivf" | "hnsw" | "diskann" = "ivf",
similarity: AzureCosmosDBMongoDBSimilarityType = AzureCosmosDBMongoDBSimilarityType.COS,
): Promise<void> {
let vectorLength = dimensions;
if (vectorLength === undefined) {
vectorLength = 1536;
}
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const cosmosSearchOptions: any = {
kind: "",
similarity,
dimensions: vectorLength,
};
if (indexType === "hnsw") {
cosmosSearchOptions.kind = "vector-hnsw";
cosmosSearchOptions.m = this.indexOptions.m ?? 16;
cosmosSearchOptions.efConstruction =
this.indexOptions.efConstruction ?? 200;
} else if (indexType === "diskann") {
cosmosSearchOptions.kind = "vector-diskann";
cosmosSearchOptions.maxDegree = this.indexOptions.maxDegree ?? 40;
cosmosSearchOptions.lBuild = this.indexOptions.lBuild ?? 50;
cosmosSearchOptions.lSearch = this.indexOptions.lSearch ?? 40;
/** Default to IVF index */
} else {
cosmosSearchOptions.kind = "vector-ivf";
cosmosSearchOptions.numLists = this.indexOptions.numLists ?? 100;
}
const createIndexCommands = {
createIndexes: this.collection?.collectionName,
indexes: [
{
name: this.indexName,
key: { [this.embeddingKey]: "cosmosSearch" },
cosmosSearchOptions,
},
],
};
await this.database.command(createIndexCommands);
}
/**
* Checks if the specified index name during instance construction exists
* on the collection.
* @returns A promise that resolves to a boolean indicating if the index exists.
*/
async checkIndexExists(): Promise<boolean> {
const collection = await this.ensureCollection();
const indexes = await collection.listIndexes().toArray();
return indexes.some((index) => index.name === this.indexName);
}
/**
* Deletes the index specified during instance construction if it exists.
* @returns A promise that resolves when the index has been deleted.
*/
async deleteIndex(indexName: string): Promise<void> {
const collection = await this.ensureCollection();
const indexes = await collection.listIndexes().toArray();
const indexToDelete = indexes.find((index) => index.name === indexName);
if (indexToDelete) {
await collection.dropIndex(indexName);
}
}
}
@@ -55,8 +55,18 @@ export interface AzureCosmosDBNoSQLConfig
readonly flatMetadata?: boolean;
readonly idKey?: string;
}
/**
* Query options for the `AzureCosmosDBNoSQLVectorStore.query` method.
* @property includeEmbeddings - Whether to include the embeddings in the result. Default false
* @property includeVectorDistance - Whether to include the vector distance in the result. Default true
* @property whereClause - The where clause to use in the query. While writing this clause, use `c` as the alias for the container and do not include the `WHERE` keyword.
*/
export interface AzureCosmosQueryOptions {
includeVectorDistance?: boolean;
whereClause?: string;
}
const USER_AGENT_SUFFIX = "LlamaIndex-CDBNoSQL-VectorStore-JavaScript";
const USER_AGENT_SUFFIX = "llamaindex-cdbnosql-vectorstore-javascript";
const DEFAULT_VECTOR_EMBEDDING_POLICY = {
vectorEmbeddings: [
@@ -98,6 +108,22 @@ function parseConnectionString(connectionString: string): {
return { endpoint, key: accountKey };
}
/**
* utility function to build the query string for the CosmosDB query
*/
function queryBuilder(options: AzureCosmosQueryOptions): string {
let initialQuery =
"SELECT TOP @k c[@id] as id, c[@text] as text, c[@metadata] as metadata";
if (options.includeVectorDistance !== false) {
initialQuery += `, VectorDistance(c[@embeddingKey],@embedding) AS SimilarityScore`;
}
initialQuery += ` FROM c`;
if (options.whereClause) {
initialQuery += ` WHERE ${options.whereClause}`;
}
initialQuery += ` ORDER BY VectorDistance(c[@embeddingKey],@embedding)`;
return initialQuery;
}
export class AzureCosmosDBNoSqlVectorStore extends BaseVectorStore {
storesText: boolean = true;
@@ -334,21 +360,25 @@ export class AzureCosmosDBNoSqlVectorStore extends BaseVectorStore {
*/
async query(
query: VectorStoreQuery,
options?: object,
options: AzureCosmosQueryOptions = {},
): Promise<VectorStoreQueryResult> {
await this.initialize();
if (!query.queryEmbedding || query.queryEmbedding.length === 0) {
throw new Error(
"queryEmbedding is required for AzureCosmosDBNoSqlVectorStore query",
);
}
const params = {
vector: query.queryEmbedding!,
k: query.similarityTopK,
};
const builtQuery = queryBuilder(options);
const nodes: BaseNode[] = [];
const ids: string[] = [];
const similarities: number[] = [];
const queryResults = await this.container.items
.query({
query:
"SELECT TOP @k c[@id] as id, c[@text] as text, c[@metadata] as metadata, VectorDistance(c[@embeddingKey],@embedding) AS SimilarityScore FROM c ORDER BY VectorDistance(c[@embeddingKey],@embedding)",
query: builtQuery,
parameters: [
{ name: "@k", value: params.k },
{ name: "@id", value: this.idKey },
@@ -176,7 +176,12 @@ export class PGVectorStore extends BaseVectorStore {
if ("clientConfig" in config) {
this.clientConfig = config.clientConfig;
} else {
if (config.client.constructor.name.includes("Vercel")) {
if (
config.client.constructor.name.includes("Vercel") ||
(!!(config.client as VercelPool).connect &&
!!(config.client as VercelPool).query &&
!(config.client as Sql).unsafe)
) {
this.isDBConnected = true;
this.db = fromVercelPool(config.client as unknown as VercelPool);
} else if (typeof config.client === "function") {
@@ -26,6 +26,7 @@ type PineconeParams = {
chunkSize?: number;
namespace?: string;
textKey?: string;
apiKey?: string;
} & VectorStoreBaseParams;
/**
@@ -48,6 +49,8 @@ export class PineconeVectorStore extends BaseVectorStore {
chunkSize: number;
textKey: string;
apiKey: string;
constructor(params?: PineconeParams) {
super(params);
this.indexName =
@@ -57,12 +60,19 @@ export class PineconeVectorStore extends BaseVectorStore {
params?.chunkSize ??
Number.parseInt(getEnv("PINECONE_CHUNK_SIZE") ?? "100");
this.textKey = params?.textKey ?? "text";
const apiKey = params?.apiKey ?? getEnv("PINECONE_API_KEY");
if (!apiKey) {
throw new Error("PINECONE_API_KEY is required");
}
this.apiKey = apiKey;
}
private async getDb(): Promise<Pinecone> {
if (!this.db) {
const { Pinecone } = await import("@pinecone-database/pinecone");
this.db = await new Pinecone();
this.db = new Pinecone({
apiKey: this.apiKey,
});
}
return Promise.resolve(this.db);
@@ -100,7 +110,7 @@ export class PineconeVectorStore extends BaseVectorStore {
*/
async add(embeddingResults: BaseNode<Metadata>[]): Promise<string[]> {
if (embeddingResults.length == 0) {
return Promise.resolve([]);
return [];
}
const idx: Index = await this.index();
@@ -110,10 +120,10 @@ export class PineconeVectorStore extends BaseVectorStore {
const chunk = nodes.slice(i, i + this.chunkSize);
const result = await this.saveChunk(idx, chunk);
if (!result) {
return Promise.reject(new Error("Failed to save chunk"));
throw new Error("Failed to save chunk");
}
}
return Promise.resolve([]);
return [];
}
protected async saveChunk(idx: Index, chunk: PineconeRecord[]) {
@@ -157,13 +167,19 @@ export class PineconeVectorStore extends BaseVectorStore {
topK: query.similarityTopK,
includeValues: true,
includeMetadata: true,
filter: filter,
};
if (filter) {
defaultOptions.filter = filter;
}
const idx = await this.index();
const results = await idx.query(defaultOptions);
const idList = results.matches.map((row) => row.id);
if (idList.length == 0) {
return { nodes: [], similarities: [], ids: [] };
}
const records: FetchResponse = await idx.fetch(idList);
const rows = Object.values(records.records);
@@ -179,13 +195,11 @@ export class PineconeVectorStore extends BaseVectorStore {
return node;
});
const ret = {
return {
nodes: nodes,
similarities: results.matches.map((row) => row.score || 999),
ids: results.matches.map((row) => row.id),
};
return Promise.resolve(ret);
}
/**
@@ -197,8 +211,8 @@ export class PineconeVectorStore extends BaseVectorStore {
return Promise.resolve();
}
toPineconeFilter(stdFilters?: MetadataFilters): object {
if (!stdFilters) return {};
toPineconeFilter(stdFilters?: MetadataFilters): object | undefined {
if (stdFilters == null) return undefined;
const transformCondition = (
condition: `${FilterCondition}` = "and",
@@ -1,4 +1,5 @@
export * from "./AstraDBVectorStore.js";
export * from "./AzureCosmosDBMongoVectorStore.js";
export * from "./AzureCosmosDBNoSqlVectorStore.js";
export * from "./ChromaVectorStore.js";
export * from "./MilvusVectorStore.js";
+13 -1
View File
@@ -65,7 +65,19 @@ export function metadataDictToNode(
}
} else {
nodeObj = JSON.parse(nodeContent);
nodeObj.metadata = rest;
nodeObj = {
...rest,
...options?.fallback,
...nodeObj,
};
nodeObj.metadata = {
...(options?.fallback &&
"metadata" in options.fallback &&
typeof options.fallback.metadata === "object"
? options?.fallback.metadata
: {}),
...rest,
};
}
// Note: we're using the name of the class stored in `_node_type`
+2 -2
View File
@@ -10,7 +10,7 @@
"@faker-js/faker": "^9.2.0",
"dotenv": "^16.4.5",
"llamaindex": "workspace:*",
"msw": "^2.6.0",
"vitest": "^2.1.4"
"msw": "^2.6.5",
"vitest": "^2.1.5"
}
}
@@ -14,9 +14,10 @@ import {
Settings,
VectorStoreQueryMode,
type AzureCosmosDBNoSQLConfig,
type AzureCosmosQueryOptions,
type VectorStoreQueryResult,
} from "llamaindex";
import { beforeEach, describe, expect, it } from "vitest";
import { beforeAll, describe, expect, it } from "vitest";
dotenv.config();
/*
* To run this test, you need have an Azure Cosmos DB for NoSQL instance
@@ -64,7 +65,10 @@ Settings.llm = new OpenAI(llmInit);
Settings.embedModel = new OpenAIEmbedding(embedModelInit);
// This test is skipped because it requires an Azure Cosmos DB instance and OpenAI API keys
describe.skip("AzureCosmosDBNoSQLVectorStore", () => {
beforeEach(async () => {
let vectorStore: AzureCosmosDBNoSqlVectorStore;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
let embeddings: any = [];
beforeAll(async () => {
if (process.env.AZURE_COSMOSDB_NOSQL_CONNECTION_STRING) {
client = new CosmosClient(
process.env.AZURE_COSMOSDB_NOSQL_CONNECTION_STRING,
@@ -79,15 +83,12 @@ describe.skip("AzureCosmosDBNoSQLVectorStore", () => {
"Please set the environment variable AZURE_COSMOSDB_NOSQL_CONNECTION_STRING or AZURE_COSMOSDB_NOSQL_ENDPOINT",
);
}
// Make sure the database does not exists
try {
await client.database(DATABASE_NAME).delete();
} catch {
// Ignore error if the database does not exist
}
});
it("perform query", async () => {
const config: AzureCosmosDBNoSQLConfig = {
idKey: "name",
textKey: "customText",
@@ -134,9 +135,9 @@ describe.skip("AzureCosmosDBNoSQLVectorStore", () => {
},
};
const vectorStore = new AzureCosmosDBNoSqlVectorStore(config);
vectorStore = new AzureCosmosDBNoSqlVectorStore(config);
const embeddings = await Settings.embedModel.getTextEmbeddings([
embeddings = await Settings.embedModel.getTextEmbeddings([
"This book is about politics",
"Cats sleeps a lot.",
"Sandwiches taste good.",
@@ -150,28 +151,29 @@ describe.skip("AzureCosmosDBNoSQLVectorStore", () => {
id_: "1",
text: "This book is about politics",
embedding: embeddings[0],
metadata: { key: "politics" },
metadata: { key: "politics", number: 1 },
}),
new Document({
id_: "2",
text: "Cats sleeps a lot.",
embedding: embeddings[1],
metadata: { key: "cats" },
metadata: { key: "cats", number: 2 },
}),
new Document({
id_: "3",
text: "Sandwiches taste good.",
embedding: embeddings[2],
metadata: { key: "sandwiches" },
metadata: { key: "sandwiches", number: 3 },
}),
new Document({
id_: "4",
text: "The house is open",
embedding: embeddings[3],
metadata: { key: "house" },
metadata: { key: "house", number: 4 },
}),
]);
});
it("perform query", async () => {
const results: VectorStoreQueryResult = await vectorStore.query({
queryEmbedding: embeddings[4] || [],
similarityTopK: 1,
@@ -179,5 +181,62 @@ describe.skip("AzureCosmosDBNoSQLVectorStore", () => {
});
expect(results.ids.length).toEqual(1);
expect(results.ids[0]).toEqual("3");
expect(results.similarities).toBeDefined();
expect(results.similarities[0]).toBeDefined();
}, 1000000);
it("perform query with where clause", async () => {
const options: AzureCosmosQueryOptions = {
whereClause: "c.customMetadata.number > 3",
};
const results: VectorStoreQueryResult = await vectorStore.query(
{
queryEmbedding: embeddings[4] || [],
similarityTopK: 1,
mode: VectorStoreQueryMode.DEFAULT,
},
options,
);
expect(results.ids.length).toEqual(1);
expect(results.ids[0]).toEqual("4");
expect(results.similarities).toBeDefined();
expect(results.similarities[0]).toBeDefined();
}, 1000000);
it("perform query with includeVectorDistance false", async () => {
const options: AzureCosmosQueryOptions = {
includeVectorDistance: false,
};
const results: VectorStoreQueryResult = await vectorStore.query(
{
queryEmbedding: embeddings[4] || [],
similarityTopK: 1,
mode: VectorStoreQueryMode.DEFAULT,
},
options,
);
expect(results.ids.length).toEqual(1);
expect(results.ids[0]).toEqual("3");
expect(results.similarities).toBeDefined();
expect(results.similarities[0]).toBeUndefined();
}, 1000000);
it("perform query with includeVectorDistance false and whereClause", async () => {
const options: AzureCosmosQueryOptions = {
includeVectorDistance: false,
whereClause: "c.customMetadata.number > 3",
};
const results: VectorStoreQueryResult = await vectorStore.query(
{
queryEmbedding: embeddings[4] || [],
similarityTopK: 1,
mode: VectorStoreQueryMode.DEFAULT,
},
options,
);
expect(results.ids.length).toEqual(1);
expect(results.ids[0]).toEqual("4");
expect(results.similarities).toBeDefined();
expect(results.similarities[0]).toBeUndefined();
}, 1000000);
});
@@ -1,6 +1,7 @@
/* eslint-disable @typescript-eslint/no-explicit-any */
import type { BaseNode } from "@llamaindex/core/schema";
import { beforeEach, describe, expect, it, vi } from "vitest";
import { VectorStoreQueryMode } from "../../src/vector-store.js";
import { TestableAzureCosmosDBNoSqlVectorStore } from "../mocks/TestableAzureCosmosDBNoSqlVectorStore.js";
import { createMockClient } from "../utility/mockCosmosClient.js"; // Import the mock client
@@ -95,4 +96,27 @@ describe("AzureCosmosDBNoSqlVectorStore Tests", () => {
expect(client.databases.containers.items.create).toHaveBeenCalledTimes(2);
expect(result).toEqual(["node-0", "node-1"]);
});
it("should throw error if no query embedding is provided", async () => {
const client = createMockClient();
const store = new TestableAzureCosmosDBNoSqlVectorStore({
client: client as any,
endpoint: "https://example.com",
idKey: "id",
textKey: "text",
metadataKey: "metadata",
});
expect(store).toBeDefined();
await expect(
store.query({
queryEmbedding: [],
similarityTopK: 4,
mode: VectorStoreQueryMode.DEFAULT,
}),
).rejects.toThrowError(
"queryEmbedding is required for AzureCosmosDBNoSqlVectorStore query",
);
});
});
+55
View File
@@ -1,5 +1,60 @@
# @llamaindex/node-parser
## 0.0.18
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
## 0.0.17
### Patch Changes
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
- @llamaindex/core@0.4.16
- @llamaindex/env@0.1.24
## 0.0.16
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
- @llamaindex/core@0.4.15
## 0.0.15
### Patch Changes
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
- @llamaindex/core@0.4.14
## 0.0.14
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/core@0.4.13
- @llamaindex/env@0.1.21
## 0.0.13
### Patch Changes
- Updated dependencies [ef4f63d]
- @llamaindex/core@0.4.12
## 0.0.12
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
## 0.0.11
### Patch Changes
+3 -3
View File
@@ -1,6 +1,6 @@
{
"name": "@llamaindex/node-parser",
"version": "0.0.11",
"version": "0.0.18",
"description": "Node parser for LlamaIndex",
"type": "module",
"exports": {
@@ -44,8 +44,8 @@
"@types/html-to-text": "^9.0.4",
"@types/node": "^22.9.0",
"bunchee": "5.6.1",
"tree-sitter": "^0.22.0",
"web-tree-sitter": "^0.24.3"
"tree-sitter": "^0.22.1",
"web-tree-sitter": "^0.24.4"
},
"peerDependencies": {
"@llamaindex/core": "workspace:*",
+55
View File
@@ -1,5 +1,60 @@
# @llamaindex/anthropic
## 0.0.26
### Patch Changes
- Updated dependencies [3d1808b]
- @llamaindex/core@0.4.17
## 0.0.25
### Patch Changes
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
- @llamaindex/core@0.4.16
- @llamaindex/env@0.1.24
## 0.0.24
### Patch Changes
- Updated dependencies [d2b2722]
- @llamaindex/env@0.1.23
- @llamaindex/core@0.4.15
## 0.0.23
### Patch Changes
- Updated dependencies [969365c]
- @llamaindex/env@0.1.22
- @llamaindex/core@0.4.14
## 0.0.22
### Patch Changes
- 90d265c: chore: bump version
- Updated dependencies [90d265c]
- @llamaindex/core@0.4.13
- @llamaindex/env@0.1.21
## 0.0.21
### Patch Changes
- Updated dependencies [ef4f63d]
- @llamaindex/core@0.4.12
## 0.0.20
### Patch Changes
- Updated dependencies [6d22fa2]
- @llamaindex/core@0.4.11
## 0.0.19
### Patch Changes
+2 -2
View File
@@ -1,7 +1,7 @@
{
"name": "@llamaindex/anthropic",
"description": "Anthropic Adapter for LlamaIndex",
"version": "0.0.19",
"version": "0.0.26",
"type": "module",
"main": "./dist/index.cjs",
"module": "./dist/index.js",
@@ -36,6 +36,6 @@
"@anthropic-ai/sdk": "0.32.1",
"@llamaindex/core": "workspace:*",
"@llamaindex/env": "workspace:*",
"remeda": "^2.12.0"
"remeda": "^2.17.3"
}
}

Some files were not shown because too many files have changed in this diff Show More