Release 0.8.27 (#1545 )

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: himself65 <himself65@users.noreply.github.com>
feat: Amazon Nova support via Bedrock (#1548 )
2026-07-01 22:14:03 -04:00 · 2024-12-11 12:18:21 +07:00 · 2024-12-10 18:56:35 -08:00 · 2024-12-09 21:02:57 -08:00 · 2024-12-09 19:52:15 -08:00 · 2024-12-09 19:51:52 -08:00
130 changed files with 4876 additions and 194 deletions
@@ -23,7 +23,7 @@ jobs:
    strategy:
      fail-fast: false
      matrix:
-        node-version: [20.x, 22.x, 23.x]
+        node-version: [18.x, 20.x, 22.x, 23.x]
    name: E2E on Node.js ${{ matrix.node-version }}
    runs-on: ubuntu-latest
    steps:
@@ -53,7 +53,7 @@ jobs:
    strategy:
      fail-fast: false
      matrix:
-        node-version: [20.x, 22.x, 23.x]
+        node-version: [18.x, 20.x, 22.x, 23.x]
    name: Test on Node.js ${{ matrix.node-version }}
    runs-on: ubuntu-latest
    steps:
@@ -1,5 +1,72 @@
 # docs

+## 0.0.133
+
+### Patch Changes
+
+- c1850ee: feat: Amazon Nova support via Bedrock
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/examples@0.0.20
+
+## 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
@@ -37,6 +37,9 @@ META_LLAMA3_2_1B_INSTRUCT = "meta.llama3-2-1b-instruct-v1:0"; // only available
 META_LLAMA3_2_3B_INSTRUCT = "meta.llama3-2-3b-instruct-v1:0"; // only available via inference endpoints (see below)
 META_LLAMA3_2_11B_INSTRUCT = "meta.llama3-2-11b-instruct-v1:0"; // only available via inference endpoints (see below), multimodal and function call supported
 META_LLAMA3_2_90B_INSTRUCT = "meta.llama3-2-90b-instruct-v1:0"; // only available via inference endpoints (see below), multimodal and function call supported
+AMAZON_NOVA_PRO_1 = "amazon.nova-pro-v1:0";
+AMAZON_NOVA_LITE_1 = "amazon.nova-lite-v1:0";
+AMAZON_NOVA_MICRO_1 = "amazon.nova-micro-v1:0";
 ```

 You can also use Bedrock's Inference endpoints by using the model names:
@@ -53,6 +56,9 @@ US_META_LLAMA_3_2_1B_INSTRUCT = "us.meta.llama3-2-1b-instruct-v1:0";
 US_META_LLAMA_3_2_3B_INSTRUCT = "us.meta.llama3-2-3b-instruct-v1:0";
 US_META_LLAMA_3_2_11B_INSTRUCT = "us.meta.llama3-2-11b-instruct-v1:0";
 US_META_LLAMA_3_2_90B_INSTRUCT = "us.meta.llama3-2-90b-instruct-v1:0";
+US_AMAZON_NOVA_PRO_1 = "us.amazon.nova-pro-v1:0";
+US_AMAZON_NOVA_LITE_1 = "us.amazon.nova-lite-v1:0";
+US_AMAZON_NOVA_MICRO_1 = "us.amazon.nova-micro-v1:0";

 // EU
 EU_ANTHROPIC_CLAUDE_3_HAIKU = "eu.anthropic.claude-3-haiku-20240307-v1:0";
@@ -1,6 +1,6 @@
 {
  "name": "docs",
-  "version": "0.0.124",
+  "version": "0.0.133",
  "private": true,
  "scripts": {
    "docusaurus": "docusaurus",
@@ -1,5 +1,97 @@
 # @llamaindex/doc

+## 0.0.31
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/core@0.4.18
+  - @llamaindex/cloud@2.0.18
+  - @llamaindex/node-parser@0.0.19
+  - @llamaindex/openai@0.1.43
+  - @llamaindex/readers@1.0.20
+  - @llamaindex/workflow@0.0.8
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/doc",
-  "version": "0.0.22",
+  "version": "0.0.31",
  "private": true,
  "scripts": {
    "build": "pnpm run build:docs && next build",
@@ -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 +1,101 @@
+---
+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. You can:
+- Use any of Vercel AI's [model providers](https://sdk.vercel.ai/docs/foundations/providers-and-models) as LLMs in LlamaIndex
+- Use indexes (e.g. VectorStoreIndex, LlamaCloudIndex) from LlamaIndexTS in your Vercel AI applications
+
+## Setup
+
+First, install the required dependencies:
+
+```bash
+npm install @llamaindex/vercel ai
+```
+
+## Using Vercel AI's Model Providers 
+
+Using the `VercelLLM` adapter, it's easy to use any of Vercel AI's [model providers](https://sdk.vercel.ai/docs/foundations/providers-and-models) as LLMs in LlamaIndex. Here's an example of how to use OpenAI's GPT-4o model:
+
+```typescript
+const llm = new VercelLLM({ model: openai("gpt-4o") });
+const result = await llm.complete({
+  prompt: "What is the capital of France?",
+  stream: false, // Set to true if you want streaming responses
+});
+console.log(result.text);
+```
+
+## Use Indexes
+
+### Using VectorStoreIndex
+
+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({
+  model: openai("gpt-4"),
+  index,
+  description: "Search through the documents", // optional
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+  model: openai("gpt-4"),
+  prompt: "Your question here",
+  tools: { queryTool },
+  onFinish({ response }) {
+    console.log("Response:", response.messages); // log the response
+  },
+}).toDataStream();
+```
+
+> Note: the Vercel AI model referenced in the `llamaindex` function is used by the response synthesizer to generate a response for the tool call.
+
+### 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({
+  model: openai("gpt-4"),
+  index,
+  description: "Search through the documents",
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+  model: openai("gpt-4"),
+  prompt: "Your question here",
+  tools: { queryTool },
+}).toDataStream();
+```
+
+## Next Steps
+
+1. Explore [LlamaCloud](https://cloud.llamaindex.ai/) for managed document storage and retrieval
+2. Join our [Discord community](https://discord.gg/dGcwcsnxhU) 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.
@@ -84,7 +84,7 @@ Imaging you put output file into `/dist/openai.js` but you are importing `llamai
 }
 ```

-In old module resolution, TypeScript will not be able to find the module because it is not follow the file structure, even you run `node index.js` successfully. (on Node.js >=16)
+In old module resolution, TypeScript will not be able to find the module because it is not following the file structure, even you run `node index.js` successfully. (on Node.js >=16)

 See more about [moduleResolution](https://www.typescriptlang.org/docs/handbook/modules/theory.html#module-resolution) or
 [TypeScript 5.0 blog](https://devblogs.microsoft.com/typescript/announcing-typescript-5-0/#--moduleresolution-bundler7).
@@ -1 +1,4 @@
 POSTGRES_USER=runner
+PINECONE_API_KEY=
+PINECONE_INDEX_NAME=
+PINECONE_NAMESPACE=
@@ -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/
@@ -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"
+  }
+}
@@ -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 +1,61 @@
 # @llamaindex/cloudflare-worker-agent-test

+## 0.0.123
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.115",
+  "version": "0.0.123",
  "type": "module",
  "private": true,
  "scripts": {
@@ -1,5 +1,36 @@
 # @llamaindex/llama-parse-browser-test

+## 0.0.38
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.18
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/llama-parse-browser-test",
  "private": true,
-  "version": "0.0.33",
+  "version": "0.0.38",
  "type": "module",
  "scripts": {
    "dev": "vite",
@@ -1,5 +1,61 @@
 # @llamaindex/next-agent-test

+## 0.1.123
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-agent-test",
-  "version": "0.1.115",
+  "version": "0.1.123",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,61 @@
 # test-edge-runtime

+## 0.1.122
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.114",
+  "version": "0.1.122",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,61 @@
 # @llamaindex/next-node-runtime

+## 0.0.104
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.0.96",
+  "version": "0.0.104",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,61 @@
 # @llamaindex/waku-query-engine-test

+## 0.0.123
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.115",
+  "version": "0.0.123",
  "type": "module",
  "private": true,
  "scripts": {
@@ -21,6 +21,11 @@ test.beforeEach(() => {
 });

 await test("clip embedding", async (t) => {
+  const major = parseInt(process.versions.node.split(".")[0] ?? "0", 10);
+  if (major < 20) {
+    t.skip("Skip CLIP tests on Node.js < 20");
+    return;
+  }
  await t.test("should trigger load transformer event", async () => {
    const nodes = [
      new ImageNode({
@@ -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",
+    );
+  });
+});
@@ -1,5 +1,49 @@
 # examples

+## 0.0.20
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [086a651]
+- Updated dependencies [e0f6cc3]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/vercel@0.0.5
+  - @llamaindex/core@0.4.18
+  - @llamaindex/readers@1.0.20
+  - @llamaindex/workflow@0.0.8
+
+## 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
@@ -1,16 +1,15 @@
-import fs from "node:fs/promises";
-
 import {
  Document,
  IngestionPipeline,
-  MetadataMode,
  OpenAIEmbedding,
  SentenceSplitter,
+  VectorStoreIndex,
 } from "llamaindex";
+import fs from "node:fs/promises";

 async function main() {
  // Load essay from abramov.txt in Node
-  const path = "node_modules/llamaindex/examples/abramov.txt";
+  const path = "../node_modules/llamaindex/examples/abramov.txt";

  const essay = await fs.readFile(path, "utf-8");

@@ -22,14 +21,23 @@ async function main() {
      new OpenAIEmbedding(),
    ],
  });
+  console.time("Pipeline Run Time");

-  // run the pipeline
  const nodes = await pipeline.run({ documents: [document] });

-  // print out the result of the pipeline run
-  for (const node of nodes) {
-    console.log(node.getContent(MetadataMode.NONE));
-  }
+  console.timeEnd("Pipeline Run Time");
+
+  // initialize the VectorStoreIndex from nodes
+  const index = await VectorStoreIndex.init({ nodes });
+
+  // Query the index
+  const queryEngine = index.asQueryEngine();
+
+  const { message } = await queryEngine.query({
+    query: "summarize the article in three sentence",
+  });
+
+  console.log(message);
 }

 main().catch(console.error);
@@ -1,24 +1,27 @@
 {
  "name": "@llamaindex/examples",
  "private": true,
-  "version": "0.0.16",
+  "version": "0.0.20",
  "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": "^0.4.18",
+    "@llamaindex/readers": "^1.0.20",
+    "@llamaindex/workflow": "^0.0.8",
+    "@llamaindex/vercel": "^0.0.5",
    "@notionhq/client": "^2.2.15",
    "@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": "^0.8.27",
    "mongodb": "^6.7.0",
    "pathe": "^1.1.2",
    "postgres": "^3.4.4"
@@ -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": "*",
@@ -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());
+  });
+});
@@ -0,0 +1,60 @@
+# 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:
+
+### Vercel LLM Example
+
+Run the Vercel LLM example with:
+
+```bash
+npx tsx vercel/llm.ts
+```
+
+This example demonstrates using the `VercelLLM` adapter with Vercel's OpenAI model provider
+
+### 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).
@@ -0,0 +1,39 @@
+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({
+        model: openai("gpt-4o"),
+        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);
@@ -0,0 +1,45 @@
+import { openai } from "@ai-sdk/openai";
+import { VercelLLM } from "@llamaindex/vercel";
+import { LLMAgent, WikipediaTool } from "llamaindex";
+
+async function main() {
+  // Create an instance of VercelLLM with the OpenAI model
+  const vercelLLM = new VercelLLM({ model: openai("gpt-4o") });
+
+  console.log("\n=== Test 1: Using complete() for single response ===");
+  const result = await vercelLLM.complete({
+    prompt: "What is the capital of France?",
+    stream: false, // Set to true if you want streaming responses
+  });
+  console.log(result.text);
+
+  console.log("\n=== Test 2: Using chat() for streaming response ===");
+  const stream = await vercelLLM.chat({
+    messages: [
+      { content: "You want to talk in rhymes.", role: "system" },
+      {
+        content:
+          "How much wood would a woodchuck chuck if a woodchuck could chuck wood?",
+        role: "user",
+      },
+    ],
+    stream: true,
+  });
+  for await (const chunk of stream) {
+    process.stdout.write(chunk.delta);
+  }
+
+  console.log("\n=== Test 3: Using LLMAgent with WikipediaTool ===");
+  const agent = new LLMAgent({
+    llm: vercelLLM,
+    tools: [new WikipediaTool()],
+  });
+
+  const { message } = await agent.chat({
+    message: "What's the history of New York from Wikipedia in 3 sentences?",
+  });
+
+  console.log(message);
+}
+
+main().catch(console.error);
@@ -0,0 +1,35 @@
+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({
+        model: openai("gpt-4o"),
+        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);
@@ -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",
@@ -1,5 +1,63 @@
 # @llamaindex/autotool

+## 5.0.27
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,5 +1,70 @@
 # @llamaindex/autotool-01-node-example

+## 0.0.70
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/autotool@5.0.27
+
+## 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
@@ -5,7 +5,7 @@
  "dependencies": {
    "@llamaindex/autotool": "workspace:*",
    "llamaindex": "workspace:*",
-    "openai": "^4.72.0"
+    "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": "0.0.62"
+  "version": "0.0.70"
 }
@@ -1,5 +1,70 @@
 # @llamaindex/autotool-02-next-example

+## 0.1.114
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/autotool@5.0.27
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/autotool-02-next-example",
  "private": true,
-  "version": "0.1.106",
+  "version": "0.1.114",
  "scripts": {
    "dev": "next dev",
    "build": "next build",
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/autotool",
  "type": "module",
-  "version": "5.0.19",
+  "version": "5.0.27",
  "description": "auto transpile your JS function to LLM Agent compatible",
  "files": [
    "dist",
@@ -1,5 +1,46 @@
 # @llamaindex/cloud

+## 2.0.18
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloud",
-  "version": "2.0.13",
+  "version": "2.0.18",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -1,5 +1,47 @@
 # @llamaindex/community

+## 0.0.76
+
+### Patch Changes
+
+- c1850ee: feat: Amazon Nova support via Bedrock
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+
+## 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
@@ -4,6 +4,7 @@

 ## Current Features:

+- Bedrock support for Amazon Nova models Pro, Lite and Micro
 - Bedrock support for the Anthropic Claude Models [usage](https://ts.llamaindex.ai/modules/llms/available_llms/bedrock) including the latest Sonnet 3.5 v2 and Haiku 3.5
 - Bedrock support for the Meta LLama 2, 3, 3.1 and 3.2 Models [usage](https://ts.llamaindex.ai/modules/llms/available_llms/bedrock)
 - Meta LLama3.1 405b and Llama3.2 tool call support
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/community",
  "description": "Community package for LlamaIndexTS",
-  "version": "0.0.71",
+  "version": "0.0.76",
  "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": "^3.693.0",
-    "@aws-sdk/client-bedrock-runtime": "^3.693.0",
+    "@aws-sdk/client-bedrock-agent-runtime": "^3.706.0",
+    "@aws-sdk/client-bedrock-runtime": "^3.706.0",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*"
  }
@@ -0,0 +1,133 @@
+import type {
+  ContentBlockDelta,
+  ConverseOutput,
+  ConverseRequest,
+  ConverseResponse,
+  ConverseStreamOutput,
+  InvokeModelCommandInput,
+  InvokeModelWithResponseStreamCommandInput,
+  ResponseStream,
+} from "@aws-sdk/client-bedrock-runtime";
+import type {
+  BaseTool,
+  ChatMessage,
+  LLMMetadata,
+  ToolCall,
+  ToolCallLLMMessageOptions,
+} from "@llamaindex/core/llms";
+import { toUtf8 } from "../utils";
+
+import { Provider, type BedrockChatStreamResponse } from "../provider";
+import {
+  mapBaseToolsToAmazonTools,
+  mapChatMessagesToAmazonMessages,
+} from "./utils";
+
+export class AmazonProvider extends Provider<ConverseStreamOutput> {
+  getResultFromResponse(response: Record<string, any>): ConverseResponse {
+    return JSON.parse(toUtf8(response.body));
+  }
+
+  getToolsFromResponse<ToolContent>(response: ConverseOutput): ToolContent[] {
+    return (
+      response.message?.content
+        ?.filter((item) => item.toolUse)
+        .map(
+          (item) =>
+            ({
+              id: item.toolUse!.toolUseId,
+              name: item.toolUse!.name,
+              input: item.toolUse!.input
+                ? JSON.parse(item.toolUse!.input as string)
+                : "",
+            }) as ToolContent,
+        ) ?? []
+    );
+  }
+
+  getTextFromResponse(response: ConverseResponse): string {
+    const result = this.getResultFromResponse(response);
+    const content = result.output?.message?.content ?? [];
+    return content.map((item) => item.text).join(" ");
+  }
+
+  getTextFromStreamResponse(response: ResponseStream): string {
+    let event: ConverseStreamOutput | undefined =
+      this.getStreamingEventResponse(response);
+    if (!event || !event.contentBlockDelta) return "";
+    const delta: ContentBlockDelta | undefined = event.contentBlockDelta.delta;
+    return delta?.text || "";
+  }
+
+  async *reduceStream(
+    stream: AsyncIterable<ResponseStream>,
+  ): BedrockChatStreamResponse {
+    let toolId: string | undefined = undefined;
+    let toolName: string | undefined = undefined;
+    for await (const response of stream) {
+      const event = this.getStreamingEventResponse(response);
+      const delta = this.getTextFromStreamResponse(response);
+
+      let options: undefined | ToolCallLLMMessageOptions = undefined;
+      if (event?.contentBlockStart && event.contentBlockStart.start?.toolUse) {
+        toolId = event.contentBlockStart.start?.toolUse.toolUseId;
+        toolName = event.contentBlockStart.start?.toolUse.name;
+        continue;
+      }
+      if (
+        toolId &&
+        toolName &&
+        event?.contentBlockDelta?.delta?.toolUse?.input
+      ) {
+        options = {
+          toolCall: [
+            {
+              id: toolId,
+              name: toolName,
+              input: JSON.parse(event?.contentBlockDelta?.delta?.toolUse.input),
+            } as ToolCall,
+          ],
+        };
+        toolId = undefined;
+        toolName = undefined;
+      }
+
+      if (!delta && !options) continue;
+
+      yield {
+        delta: options ? "" : delta,
+        options,
+        raw: response,
+      };
+    }
+  }
+
+  getRequestBody<T extends ChatMessage>(
+    metadata: LLMMetadata,
+    messages: T[],
+    tools: BaseTool[] = [],
+    options: Omit<ConverseRequest, "modelId" | "messages" | "inferenceConfig">,
+  ): InvokeModelCommandInput | InvokeModelWithResponseStreamCommandInput {
+    const request: Omit<ConverseRequest, "modelId"> = {
+      ...options,
+      messages: mapChatMessagesToAmazonMessages(messages),
+      inferenceConfig: {
+        maxTokens: metadata.maxTokens,
+        temperature: metadata.temperature,
+        topP: metadata.topP,
+      },
+    };
+    if (tools.length) {
+      request.toolConfig = {
+        tools: mapBaseToolsToAmazonTools(tools),
+      };
+    }
+
+    return {
+      modelId: metadata.model,
+      contentType: "application/json",
+      accept: "application/json",
+      body: JSON.stringify(request),
+    };
+  }
+}
@@ -0,0 +1,5 @@
+import type { ConverseRequest, Message } from "@aws-sdk/client-bedrock-runtime";
+
+export type AmazonMessages = ConverseRequest["messages"];
+
+export type AmazonMessage = Message;
@@ -0,0 +1,141 @@
+import type {
+  ImageBlock,
+  ImageFormat,
+  Message,
+  Tool,
+} from "@aws-sdk/client-bedrock-runtime";
+import type {
+  BaseTool,
+  ChatMessage,
+  MessageContentDetail,
+  ToolCallLLMMessageOptions,
+} from "@llamaindex/core/llms";
+import {
+  extractDataUrlComponents,
+  mapMessageContentToMessageContentDetails,
+} from "../utils";
+
+import type { JSONObject } from "@llamaindex/core/global";
+import type { AmazonMessage, AmazonMessages } from "./types";
+
+const ACCEPTED_IMAGE_MIME_TYPES = [
+  "image/jpeg",
+  "image/png",
+  "image/webp",
+  "image/gif",
+] as const;
+
+const ACCEPTED_IMAGE_MIME_TYPE_FORMAT_MAP: Record<
+  (typeof ACCEPTED_IMAGE_MIME_TYPES)[number],
+  ImageFormat
+> = {
+  "image/jpeg": "jpeg",
+  "image/png": "png",
+  "image/webp": "webp",
+  "image/gif": "gif",
+};
+
+export const mapImageContent = (imageUrl: string): ImageBlock => {
+  if (!imageUrl.startsWith("data:"))
+    throw new Error(
+      "For Amazon please only use base64 data url, e.g.: data:image/jpeg;base64,SGVsbG8sIFdvcmxkIQ==",
+    );
+  const { mimeType, base64: data } = extractDataUrlComponents(imageUrl);
+  if (
+    !ACCEPTED_IMAGE_MIME_TYPES.includes(
+      mimeType as keyof typeof ACCEPTED_IMAGE_MIME_TYPE_FORMAT_MAP,
+    )
+  )
+    throw new Error(
+      `Amazon only accepts the following mimeTypes: ${ACCEPTED_IMAGE_MIME_TYPES.join("\n")}`,
+    );
+
+  return {
+    format:
+      ACCEPTED_IMAGE_MIME_TYPE_FORMAT_MAP[
+        mimeType as keyof typeof ACCEPTED_IMAGE_MIME_TYPE_FORMAT_MAP
+      ],
+
+    // @ts-ignore: there's a mistake in the "@aws-sdk/client-bedrock-runtime" compared to the actual api
+    source: { bytes: data },
+  };
+};
+
+export const mapMessageContentDetailToAmazonContent = <
+  T extends MessageContentDetail,
+>(
+  detail: T,
+): Message["content"] => {
+  let content: Message["content"] = [];
+
+  if (detail.type === "text") {
+    content = [{ text: detail.text }];
+  } else if (detail.type === "image_url") {
+    content = [{ image: mapImageContent(detail.image_url.url) }];
+  } else {
+    throw new Error("Unsupported content detail type");
+  }
+  return content;
+};
+
+export const mapChatMessagesToAmazonMessages = <
+  T extends ChatMessage<ToolCallLLMMessageOptions>,
+>(
+  messages: T[],
+): AmazonMessages => {
+  return messages.flatMap((msg: T): AmazonMessage[] => {
+    return mapMessageContentToMessageContentDetails(msg.content).map(
+      (detail: MessageContentDetail): AmazonMessage => {
+        if (msg.options && "toolCall" in msg.options) {
+          return {
+            role: "assistant",
+            content: msg.options.toolCall.map((call) => ({
+              toolUse: {
+                toolUseId: call.id,
+                name: call.name,
+                input: call.input as JSONObject,
+              },
+            })),
+          };
+        }
+        if (msg.options && "toolResult" in msg.options) {
+          return {
+            role: "user",
+            content: [
+              {
+                toolResult: {
+                  toolUseId: msg.options.toolResult.id,
+                  content: [
+                    {
+                      text: msg.options.toolResult.result,
+                    },
+                  ],
+                },
+              },
+            ],
+          };
+        }
+
+        return {
+          role: msg.role === "assistant" ? "assistant" : "user",
+          content: mapMessageContentDetailToAmazonContent(detail),
+        };
+      },
+    );
+  });
+};
+
+export const mapBaseToolsToAmazonTools = (tools?: BaseTool[]): Tool[] => {
+  if (!tools) return [];
+  return tools.map((tool: BaseTool) => {
+    const {
+      metadata: { parameters, ...options },
+    } = tool;
+    return {
+      toolSpec: {
+        ...options,
+        inputSchema: parameters,
+      },
+    } as Tool;
+  });
+};
@@ -11,13 +11,10 @@ import type {
  ToolCall,
  ToolCallLLMMessageOptions,
 } from "@llamaindex/core/llms";
-import {
-  type BedrockAdditionalChatOptions,
-  type BedrockChatStreamResponse,
-  Provider,
-} from "../provider";
+import { type BedrockChatStreamResponse, Provider } from "../provider";
 import { toUtf8 } from "../utils";
 import type {
+  AnthropicAdditionalChatOptions,
  AnthropicNoneStreamingResponse,
  AnthropicStreamEvent,
  AnthropicTextContent,
@@ -134,7 +131,7 @@ export class AnthropicProvider extends Provider<AnthropicStreamEvent> {
    metadata: LLMMetadata,
    messages: T[],
    tools?: BaseTool[],
-    options?: BedrockAdditionalChatOptions,
+    options?: AnthropicAdditionalChatOptions,
  ): InvokeModelCommandInput | InvokeModelWithResponseStreamCommandInput {
    const extra: Record<string, unknown> = {};
    if (options?.toolChoice) {
@@ -1,6 +1,13 @@
 import type { ToolMetadata } from "@llamaindex/core/llms";
 import type { InvocationMetrics } from "../types";

+export type ToolChoice =
+  | { type: "any" }
+  | { type: "auto" }
+  | { type: "tool"; name: string };
+
+export type AnthropicAdditionalChatOptions = { toolChoice: ToolChoice };
+
 type Usage = {
  input_tokens: number;
  output_tokens: number;
@@ -25,6 +25,7 @@ import {
 import { mapMessageContentToMessageContentDetails } from "./utils";

 import { wrapLLMEvent } from "@llamaindex/core/decorator";
+import { AmazonProvider } from "./amazon/provider";
 import { AnthropicProvider } from "./anthropic/provider";
 import { MetaProvider } from "./meta/provider";

@@ -32,6 +33,7 @@ import { MetaProvider } from "./meta/provider";
 export const PROVIDERS: { [key: string]: Provider } = {
  anthropic: new AnthropicProvider(),
  meta: new MetaProvider(),
+  amazon: new AmazonProvider(),
 };

 export type BedrockChatParamsStreaming = LLMChatParamsStreaming<
@@ -81,7 +83,11 @@ export const BEDROCK_MODELS = {
  MISTRAL_7B_INSTRUCT: "mistral.mistral-7b-instruct-v0:2",
  MISTRAL_MIXTRAL_7B_INSTRUCT: "mistral.mixtral-8x7b-instruct-v0:1",
  MISTRAL_MIXTRAL_LARGE_2402: "mistral.mistral-large-2402-v1:0",
+  AMAZON_NOVA_PRO_1: "amazon.nova-pro-v1:0",
+  AMAZON_NOVA_LITE_1: "amazon.nova-lite-v1:0",
+  AMAZON_NOVA_MICRO_1: "amazon.nova-micro-v1:0",
 };
+
 export type BEDROCK_MODELS =
  (typeof BEDROCK_MODELS)[keyof typeof BEDROCK_MODELS];

@@ -98,6 +104,9 @@ export const INFERENCE_BEDROCK_MODELS = {
  US_META_LLAMA_3_2_3B_INSTRUCT: "us.meta.llama3-2-3b-instruct-v1:0",
  US_META_LLAMA_3_2_11B_INSTRUCT: "us.meta.llama3-2-11b-instruct-v1:0",
  US_META_LLAMA_3_2_90B_INSTRUCT: "us.meta.llama3-2-90b-instruct-v1:0",
+  US_AMAZON_NOVA_PRO_1: "us.amazon.nova-pro-v1:0",
+  US_AMAZON_NOVA_LITE_1: "us.amazon.nova-lite-v1:0",
+  US_AMAZON_NOVA_MICRO_1: "us.amazon.nova-micro-v1:0",

  EU_ANTHROPIC_CLAUDE_3_HAIKU: "eu.anthropic.claude-3-haiku-20240307-v1:0",
  EU_ANTHROPIC_CLAUDE_3_5_HAIKU: "eu.anthropic.claude-3-5-haiku-20240307-v1:0",
@@ -189,6 +198,9 @@ const CHAT_ONLY_MODELS = {
  [BEDROCK_MODELS.MISTRAL_7B_INSTRUCT]: 32000,
  [BEDROCK_MODELS.MISTRAL_MIXTRAL_7B_INSTRUCT]: 32000,
  [BEDROCK_MODELS.MISTRAL_MIXTRAL_LARGE_2402]: 32000,
+  [BEDROCK_MODELS.AMAZON_NOVA_PRO_1]: 300000,
+  [BEDROCK_MODELS.AMAZON_NOVA_LITE_1]: 300000,
+  [BEDROCK_MODELS.AMAZON_NOVA_MICRO_1]: 130000,
 };

 const BEDROCK_FOUNDATION_LLMS = { ...COMPLETION_MODELS, ...CHAT_ONLY_MODELS };
@@ -225,6 +237,9 @@ export const STREAMING_MODELS = new Set([
  BEDROCK_MODELS.MISTRAL_7B_INSTRUCT,
  BEDROCK_MODELS.MISTRAL_MIXTRAL_7B_INSTRUCT,
  BEDROCK_MODELS.MISTRAL_MIXTRAL_LARGE_2402,
+  BEDROCK_MODELS.AMAZON_NOVA_PRO_1,
+  BEDROCK_MODELS.AMAZON_NOVA_LITE_1,
+  BEDROCK_MODELS.AMAZON_NOVA_MICRO_1,
 ]);

 export const TOOL_CALL_MODELS: BEDROCK_MODELS[] = [
@@ -239,6 +254,9 @@ export const TOOL_CALL_MODELS: BEDROCK_MODELS[] = [
  BEDROCK_MODELS.META_LLAMA3_2_3B_INSTRUCT,
  BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT,
  BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT,
+  BEDROCK_MODELS.AMAZON_NOVA_PRO_1,
+  BEDROCK_MODELS.AMAZON_NOVA_LITE_1,
+  BEDROCK_MODELS.AMAZON_NOVA_MICRO_1,
 ];

 const getProvider = (model: string): Provider => {
@@ -320,10 +338,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
    this.temperature = temperature ?? DEFAULT_BEDROCK_PARAMS.temperature;
    this.topP = topP ?? DEFAULT_BEDROCK_PARAMS.topP;
    this.client = new BedrockRuntimeClient(params);
-
-    if (!this.supportToolCall) {
-      console.warn(`The model "${this.model}" doesn't support ToolCall`);
-    }
  }

  get supportToolCall(): boolean {
@@ -345,6 +359,9 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
  protected async nonStreamChat(
    params: BedrockChatParamsNonStreaming,
  ): Promise<BedrockChatNonStreamResponse> {
+    if (!this.supportToolCall && params.tools?.length) {
+      console.warn(`The model "${this.model}" doesn't support ToolCall`);
+    }
    const input = this.provider.getRequestBody(
      this.metadata,
      params.messages,
@@ -378,6 +395,10 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
    if (!STREAMING_MODELS.has(this.model))
      throw new Error(`The model: ${this.model} does not support streaming`);

+    if (!this.supportToolCall && params.tools?.length) {
+      console.warn(`The model "${this.model}" doesn't support ToolCall`);
+    }
+
    const input = this.provider.getRequestBody(
      this.metadata,
      params.messages,
@@ -388,7 +409,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
    command.input.modelId = this.actualModel;

    const response = await this.client.send(command);
-
    if (response.body) yield* this.provider.reduceStream(response.body);
  }

@@ -11,10 +11,9 @@ import {
  type ToolCallLLMMessageOptions,
 } from "@llamaindex/core/llms";
 import { streamConverter } from "@llamaindex/core/utils";
-import type { ToolChoice } from "./types";
 import { toUtf8 } from "./utils";

-export type BedrockAdditionalChatOptions = { toolChoice: ToolChoice };
+export type BedrockAdditionalChatOptions = Record<string, unknown>;

 export type BedrockChatStreamResponse = AsyncIterable<
  ChatResponseChunk<ToolCallLLMMessageOptions>
@@ -4,8 +4,3 @@ export type InvocationMetrics = {
  invocationLatency: number;
  firstByteLatency: number;
 };
-
-export type ToolChoice =
-  | { type: "any" }
-  | { type: "auto" }
-  | { type: "tool"; name: string };
@@ -1,5 +1,41 @@
 # @llamaindex/core

+## 0.4.18
+
+### Patch Changes
+
+- e0f6cc3: The compact and refine response synthesizer (retrieved by using `getResponseSynthesizer('compact')`) has been fixed to return the original source nodes that were provided to it in its response. Previous to this it was returning the compacted text chunk documents.
+- Updated dependencies [b504303]
+  - @llamaindex/env@0.1.25
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/core",
  "type": "module",
-  "version": "0.4.13",
+  "version": "0.4.18",
  "description": "LlamaIndex Core Module",
  "exports": {
    "./agent": {
@@ -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));
              },
            }),
          );
@@ -77,6 +77,16 @@ class Refine extends BaseSynthesizer {
    }
  }

+  async getResponse(
+    query: MessageContent,
+    nodes: NodeWithScore[],
+    stream: true,
+  ): Promise<AsyncIterable<EngineResponse>>;
+  async getResponse(
+    query: MessageContent,
+    nodes: NodeWithScore[],
+    stream: false,
+  ): Promise<EngineResponse>;
  async getResponse(
    query: MessageContent,
    nodes: NodeWithScore[],
@@ -197,6 +207,16 @@ class Refine extends BaseSynthesizer {
 * CompactAndRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.
 */
 class CompactAndRefine extends Refine {
+  async getResponse(
+    query: MessageContent,
+    nodes: NodeWithScore[],
+    stream: true,
+  ): Promise<AsyncIterable<EngineResponse>>;
+  async getResponse(
+    query: MessageContent,
+    nodes: NodeWithScore[],
+    stream: false,
+  ): Promise<EngineResponse>;
  async getResponse(
    query: MessageContent,
    nodes: NodeWithScore[],
@@ -216,17 +236,24 @@ class CompactAndRefine extends Refine {
    const newTexts = this.promptHelper.repack(maxPrompt, textChunks);
    const newNodes = newTexts.map((text) => new TextNode({ text }));
    if (stream) {
-      return super.getResponse(
+      const streamResponse = await super.getResponse(
        query,
        newNodes.map((node) => ({ node })),
        true,
      );
+      return streamConverter(streamResponse, (chunk) => {
+        chunk.sourceNodes = nodes;
+        return chunk;
+      });
    }
-    return super.getResponse(
+
+    const originalResponse = await super.getResponse(
      query,
      newNodes.map((node) => ({ node })),
      false,
    );
+    originalResponse.sourceNodes = nodes;
+    return originalResponse;
  }
 }

@@ -0,0 +1,66 @@
+import { describe, expect, test, vi } from "vitest";
+import type { LLMMetadata } from "../../llms/dist/index.js";
+import { getResponseSynthesizer } from "../../response-synthesizers/dist/index.js";
+import { Document } from "../../schema/dist/index.js";
+
+const mockLllm = () => ({
+  complete: vi.fn().mockImplementation(({ stream }) => {
+    const response = { text: "unimportant" };
+    if (!stream) {
+      return response;
+    }
+
+    function* gen() {
+      // yield a few times to make sure each chunk has the sourceNodes
+      yield response;
+      yield response;
+      yield response;
+    }
+
+    return gen();
+  }),
+  chat: vi.fn(),
+  metadata: {} as unknown as LLMMetadata,
+});
+
+describe("compact and refine response synthesizer", () => {
+  describe("synthesize", () => {
+    test("should return original sourceNodes with response when stream = false", async () => {
+      const synthesizer = getResponseSynthesizer("compact", {
+        llm: mockLllm(),
+      });
+
+      const sourceNode = { node: new Document({}), score: 1 };
+
+      const response = await synthesizer.synthesize(
+        {
+          query: "test",
+          nodes: [sourceNode],
+        },
+        false,
+      );
+
+      expect(response.sourceNodes).toEqual([sourceNode]);
+    });
+
+    test("should return original sourceNodes with response when stream = true", async () => {
+      const synthesizer = getResponseSynthesizer("compact", {
+        llm: mockLllm(),
+      });
+
+      const sourceNode = { node: new Document({}), score: 1 };
+
+      const response = await synthesizer.synthesize(
+        {
+          query: "test",
+          nodes: [sourceNode],
+        },
+        true,
+      );
+
+      for await (const chunk of response) {
+        expect(chunk.sourceNodes).toEqual([sourceNode]);
+      }
+    });
+  });
+});
@@ -1,5 +1,29 @@
 # @llamaindex/env

+## 0.1.25
+
+### Patch Changes
+
+- b504303: Allow Node 18 again (throw run-time error if not possible) to make Stackblitz work
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/env",
  "description": "environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker",
-  "version": "0.1.21",
+  "version": "0.1.25",
  "type": "module",
  "types": "dist/index.d.ts",
  "module": "dist/index.js",
@@ -0,0 +1 @@
+export { AsyncLocalStorage } from "node:async_hooks";
@@ -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";
@@ -7,6 +7,13 @@ export {
 } from "./shared.js";

 export async function loadTransformers(onLoad: OnLoad) {
+  const nodeVersions = process.versions.node.split(".");
+  if (nodeVersions[0] && parseInt(nodeVersions[0], 10) < 20) {
+    throw new Error(
+      "@huggingface/transformers is not supported on Node.js versions below 20",
+    );
+  }
+
  if (getTransformers() === null) {
    setTransformers(await import("@huggingface/transformers"));
  } else {
@@ -2,4 +2,4 @@ export {
  Tokenizers,
  tokenizers,
  type Tokenizer,
-} from "./internal/tokenizers/js.js";
+} from "./internal/tokenizers/node.js";
@@ -1,5 +1,62 @@
 # @llamaindex/experimental

+## 0.0.139
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/experimental",
  "description": "Experimental package for LlamaIndexTS",
-  "version": "0.0.131",
+  "version": "0.0.139",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -1,5 +1,134 @@
 # llamaindex

+## 0.8.27
+
+### Patch Changes
+
+- b504303: Allow Node 18 again (throw run-time error if not possible) to make Stackblitz work
+- a0e6f57: withLlamaIndex now passes through webpack options to the passed in customized NextJS webpack config. Before it was only passing through the config.
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+  - @llamaindex/cloud@2.0.18
+  - @llamaindex/node-parser@0.0.19
+  - @llamaindex/anthropic@0.0.27
+  - @llamaindex/clip@0.0.27
+  - @llamaindex/deepinfra@0.0.27
+  - @llamaindex/groq@0.0.42
+  - @llamaindex/huggingface@0.0.27
+  - @llamaindex/ollama@0.0.34
+  - @llamaindex/openai@0.1.43
+  - @llamaindex/portkey-ai@0.0.27
+  - @llamaindex/replicate@0.0.27
+  - @llamaindex/readers@1.0.20
+  - @llamaindex/vllm@0.0.13
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "llamaindex",
-  "version": "0.8.19",
+  "version": "0.8.27",
  "license": "MIT",
  "type": "module",
  "keywords": [
@@ -65,7 +65,7 @@
    "lodash": "^4.17.21",
    "magic-bytes.js": "^1.10.0",
    "mongodb": "^6.7.0",
-    "openai": "^4.72.0",
+    "openai": "^4.73.1",
    "pathe": "^1.1.2",
    "rake-modified": "^1.0.8",
    "weaviate-client": "^3.2.3",
@@ -86,7 +86,6 @@
    }
  },
  "devDependencies": {
-    "@huggingface/transformers": "^3.0.2",
    "@swc/cli": "^0.5.0",
    "@swc/core": "^1.9.2",
    "@vercel/postgres": "^0.10.0",
@@ -98,7 +97,7 @@
    "typescript": "^5.6.3"
  },
  "engines": {
-    "node": ">=20.0.0"
+    "node": ">=18.0.0"
  },
  "types": "./dist/type/index.d.ts",
  "main": "./dist/cjs/index.js",
@@ -41,7 +41,7 @@ export default function withLlamaIndex(config: any) {
  // eslint-disable-next-line @typescript-eslint/no-explicit-any
  config.webpack = function (webpackConfig: any, options: any) {
    if (userWebpack) {
-      webpackConfig = userWebpack(webpackConfig);
+      webpackConfig = userWebpack(webpackConfig, options);
    }
    webpackConfig.resolve.alias = {
      ...webpackConfig.resolve.alias,
@@ -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 +1,49 @@
+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,
+    });
+  }
+}
@@ -2,13 +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;
+  }
+}
@@ -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);
+    }
+  }
+}
@@ -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";
@@ -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`
@@ -1,5 +1,46 @@
 # @llamaindex/node-parser

+## 0.0.19
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+
+## 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
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/node-parser",
-  "version": "0.0.14",
+  "version": "0.0.19",
  "description": "Node parser for LlamaIndex",
  "type": "module",
  "exports": {
@@ -1,5 +1,46 @@
 # @llamaindex/anthropic

+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+
+## 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
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/anthropic",
  "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.0.22",
+  "version": "0.0.27",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -1,5 +1,51 @@
 # @llamaindex/clip

+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+  - @llamaindex/openai@0.1.43
+
+## 0.0.26
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/core@0.4.17
+  - @llamaindex/openai@0.1.42
+
+## 0.0.25
+
+### Patch Changes
+
+- 8be4589: chore: bump version
+- Updated dependencies [8be4589]
+  - @llamaindex/core@0.4.16
+  - @llamaindex/env@0.1.24
+  - @llamaindex/openai@0.1.41
+
+## 0.0.24
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+  - @llamaindex/openai@0.1.40
+
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+  - @llamaindex/openai@0.1.39
+
 ## 0.0.22

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/clip",
  "description": "Clip Embedding Adapter for LlamaIndex",
-  "version": "0.0.22",
+  "version": "0.0.27",
  "type": "module",
  "types": "dist/index.d.ts",
  "main": "dist/index.cjs",
@@ -1,5 +1,51 @@
 # @llamaindex/deepinfra

+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+  - @llamaindex/openai@0.1.43
+
+## 0.0.26
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/core@0.4.17
+  - @llamaindex/openai@0.1.42
+
+## 0.0.25
+
+### Patch Changes
+
+- 8be4589: chore: bump version
+- Updated dependencies [8be4589]
+  - @llamaindex/core@0.4.16
+  - @llamaindex/env@0.1.24
+  - @llamaindex/openai@0.1.41
+
+## 0.0.24
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+  - @llamaindex/openai@0.1.40
+
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+  - @llamaindex/openai@0.1.39
+
 ## 0.0.22

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/deepinfra",
  "description": "Deepinfra Adapter for LlamaIndex",
-  "version": "0.0.22",
+  "version": "0.0.27",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -1,5 +1,45 @@
 # @llamaindex/groq

+## 0.0.42
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/openai@0.1.43
+
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/openai@0.1.42
+
+## 0.0.40
+
+### Patch Changes
+
+- 8be4589: chore: bump version
+- Updated dependencies [8be4589]
+  - @llamaindex/env@0.1.24
+  - @llamaindex/openai@0.1.41
+
+## 0.0.39
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/openai@0.1.40
+
+## 0.0.38
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/openai@0.1.39
+
 ## 0.0.37

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/groq",
  "description": "Groq Adapter for LlamaIndex",
-  "version": "0.0.37",
+  "version": "0.0.42",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -1,5 +1,51 @@
 # @llamaindex/huggingface

+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+  - @llamaindex/openai@0.1.43
+
+## 0.0.26
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/core@0.4.17
+  - @llamaindex/openai@0.1.42
+
+## 0.0.25
+
+### Patch Changes
+
+- 8be4589: chore: bump version
+- Updated dependencies [8be4589]
+  - @llamaindex/core@0.4.16
+  - @llamaindex/env@0.1.24
+  - @llamaindex/openai@0.1.41
+
+## 0.0.24
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+  - @llamaindex/openai@0.1.40
+
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+  - @llamaindex/openai@0.1.39
+
 ## 0.0.22

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/huggingface",
  "description": "Huggingface Adapter for LlamaIndex",
-  "version": "0.0.22",
+  "version": "0.0.27",
  "type": "module",
  "types": "dist/index.d.ts",
  "main": "dist/index.cjs",
@@ -1,5 +1,46 @@
 # @llamaindex/ollama

+## 0.0.34
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+  - @llamaindex/env@0.1.25
+  - @llamaindex/core@0.4.18
+
+## 0.0.33
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/core@0.4.17
+
+## 0.0.32
+
+### Patch Changes
+
+- 8be4589: chore: bump version
+- Updated dependencies [8be4589]
+  - @llamaindex/core@0.4.16
+  - @llamaindex/env@0.1.24
+
+## 0.0.31
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+
+## 0.0.30
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+
 ## 0.0.29

 ### Patch Changes
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
github-actions[bot]	f369d3de4f	Release 0.8.27 (#1545 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: himself65 <himself65@users.noreply.github.com>	2024-12-11 12:18:21 +07:00
Parham Saidi	c1850ee370	feat: Amazon Nova support via Bedrock (#1548 )	2024-12-10 18:56:35 -08:00
Marcus Schiesser	086a65141d	Add adapter to use Vercel model providers (#1558 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-12-09 21:02:57 -08:00
Qwertic	d99d598491	Update typescript.mdx (#1557 )	2024-12-09 19:52:15 -08:00
Gunnar Holwerda	a0e6f57d9b	Pass options through to userWebpack in withLlamaIndex (#1550 )	2024-12-09 19:51:52 -08:00
Gunnar Holwerda	e0f6cc3be1	fix: return actual source nodes with compact and refine response synt… (#1554 )	2024-12-09 11:00:12 -08:00
Jingyi Zhao	8386510d86	chore: add e2e working example for ingestion (#1543 )	2024-12-04 17:36:00 -08:00
Marcus Schiesser	b504303c66	fix: allow Node 18 again to make Stackblitz work (#1544 )	2024-12-03 20:57:20 -08:00
Marcus Schiesser	cf9a9356e0	fix: discord link (#1542 )	2024-12-03 11:16:02 +07:00
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
				`@@ -0,0 +1 @@`
				`export { AsyncLocalStorage } from "node:async_hooks";`