docs: add interactive chat for anthropic

feat: Claude 3 (#604 )
fix: .tsbuildinfo
2026-07-16 07:14:29 -04:00 · 2024-03-05 11:15:50 +07:00 · 2024-03-04 15:02:18 -08:00 · 2024-03-04 16:05:45 -06:00 · 2024-03-04 12:10:40 +07:00 · 2024-03-02 18:42:24 -06:00
74 changed files with 1036 additions and 324 deletions
@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Add LlamaParse option when selecting a pdf file or a folder
@@ -0,0 +1,5 @@
+---
+"llamaindex": patch
+---
+
+Add quantized parameter to HuggingFaceEmbedding
@@ -44,6 +44,7 @@ test-results/
 playwright-report/
 blob-report/
 playwright/.cache/
+.tsbuildinfo

 # intellij
 **/.idea
@@ -1,5 +1,12 @@
 # docs

+## 0.0.4
+
+### Patch Changes
+
+- Updated dependencies [5116ad8]
+  - @llamaindex/env@0.0.5
+
 ## 0.0.3

 ### Patch Changes
@@ -23,3 +23,15 @@ const results = await queryEngine.query({
  query,
 });
 ```
+
+Per default, `HuggingFaceEmbedding` is using the `Xenova/all-MiniLM-L6-v2` model. You can change the model by passing the `modelType` parameter to the constructor.
+If you're not using a quantized model, set the `quantized` parameter to `false`.
+
+For example, to use the not quantized `BAAI/bge-small-en-v1.5` model, you can use the following code:
+
+```
+const embedModel = new HuggingFaceEmbedding({
+  modelType: "BAAI/bge-small-en-v1.5",
+  quantized: false,
+});
+```
@@ -53,10 +53,6 @@ const evaluator = new CorrectnessEvaluator({
  serviceContext: ctx,
 });

-const response = await queryEngine.query({
-  query,
-});
-
 const result = await evaluator.evaluateResponse({
  query,
  response,
@@ -1,6 +1,6 @@
 {
  "name": "docs",
-  "version": "0.0.3",
+  "version": "0.0.4",
  "private": true,
  "scripts": {
    "docusaurus": "docusaurus",
@@ -8,7 +8,7 @@ import {
 async function main() {
  // Load the documents
  const documents = await new SimpleDirectoryReader().loadData({
-    directoryPath: "node_modules/llamaindex/examples/",
+    directoryPath: "node_modules/llamaindex/examples",
  });

  // Create a vector index from the documents
@@ -0,0 +1,95 @@
+import { FunctionTool, OpenAIAgent } from "llamaindex";
+
+// Define a function to sum two numbers
+function sumNumbers({ a, b }: { a: number; b: number }): number {
+  return a + b;
+}
+
+// Define a function to divide two numbers
+function divideNumbers({ a, b }: { a: number; b: number }): number {
+  return a / b;
+}
+
+// Define the parameters of the sum function as a JSON schema
+const sumJSON = {
+  type: "object",
+  properties: {
+    a: {
+      type: "number",
+      description: "The first number",
+    },
+    b: {
+      type: "number",
+      description: "The second number",
+    },
+  },
+  required: ["a", "b"],
+};
+
+const divideJSON = {
+  type: "object",
+  properties: {
+    a: {
+      type: "number",
+      description: "The dividend a to divide",
+    },
+    b: {
+      type: "number",
+      description: "The divisor b to divide by",
+    },
+  },
+  required: ["a", "b"],
+};
+
+async function main() {
+  // Create a function tool from the sum function
+  const functionTool = new FunctionTool(sumNumbers, {
+    name: "sumNumbers",
+    description: "Use this function to sum two numbers",
+    parameters: sumJSON,
+  });
+
+  // Create a function tool from the divide function
+  const functionTool2 = new FunctionTool(divideNumbers, {
+    name: "divideNumbers",
+    description: "Use this function to divide two numbers",
+    parameters: divideJSON,
+  });
+
+  // Create an OpenAIAgent with the function tools
+  const agent = new OpenAIAgent({
+    tools: [functionTool, functionTool2],
+    verbose: true,
+  });
+
+  // Create a task to sum and divide numbers
+  const task = agent.createTask("How much is 5 + 5? then divide by 2");
+
+  let count = 0;
+
+  while (true) {
+    const stepOutput = await agent.runStep(task.taskId);
+
+    console.log(`Runnning step ${count++}`);
+    console.log(`======== OUTPUT ==========`);
+    if (stepOutput.output.response) {
+      console.log(stepOutput.output.response);
+    } else {
+      console.log(stepOutput.output.sources);
+    }
+    console.log(`==========================`);
+
+    if (stepOutput.isLast) {
+      const finalResponse = await agent.finalizeResponse(
+        task.taskId,
+        stepOutput,
+      );
+      console.log({ finalResponse });
+      break;
+    }
+  }
+}
+
+main().then(() => {
+  console.log("Done");
+});
@@ -8,7 +8,7 @@ import {
 async function main() {
  // Load the documents
  const documents = await new SimpleDirectoryReader().loadData({
-    directoryPath: "node_modules/llamaindex/examples/",
+    directoryPath: "node_modules/llamaindex/examples",
  });

  // Create a vector index from the documents
@@ -32,13 +32,31 @@ async function main() {
    verbose: true,
  });

-  // Chat with the agent
-  const response = await agent.chat({
-    message: "What was his salary?",
-  });
+  const task = agent.createTask("What was his salary?");

-  // Print the response
-  console.log(String(response));
+  let count = 0;
+
+  while (true) {
+    const stepOutput = await agent.runStep(task.taskId);
+
+    console.log(`Runnning step ${count++}`);
+    console.log(`======== OUTPUT ==========`);
+    if (stepOutput.output.response) {
+      console.log(stepOutput.output.response);
+    } else {
+      console.log(stepOutput.output.sources);
+    }
+    console.log(`==========================`);
+
+    if (stepOutput.isLast) {
+      const finalResponse = await agent.finalizeResponse(
+        task.taskId,
+        stepOutput,
+      );
+      console.log({ finalResponse });
+      break;
+    }
+  }
 }

 main().then(() => {
@@ -0,0 +1,90 @@
+import { FunctionTool, ReActAgent } from "llamaindex";
+
+// Define a function to sum two numbers
+function sumNumbers({ a, b }: { a: number; b: number }): number {
+  return a + b;
+}
+
+// Define a function to divide two numbers
+function divideNumbers({ a, b }: { a: number; b: number }): number {
+  return a / b;
+}
+
+// Define the parameters of the sum function as a JSON schema
+const sumJSON = {
+  type: "object",
+  properties: {
+    a: {
+      type: "number",
+      description: "The first number",
+    },
+    b: {
+      type: "number",
+      description: "The second number",
+    },
+  },
+  required: ["a", "b"],
+};
+
+const divideJSON = {
+  type: "object",
+  properties: {
+    a: {
+      type: "number",
+      description: "The dividend",
+    },
+    b: {
+      type: "number",
+      description: "The divisor",
+    },
+  },
+  required: ["a", "b"],
+};
+
+async function main() {
+  // Create a function tool from the sum function
+  const functionTool = new FunctionTool(sumNumbers, {
+    name: "sumNumbers",
+    description: "Use this function to sum two numbers",
+    parameters: sumJSON,
+  });
+
+  // Create a function tool from the divide function
+  const functionTool2 = new FunctionTool(divideNumbers, {
+    name: "divideNumbers",
+    description: "Use this function to divide two numbers",
+    parameters: divideJSON,
+  });
+
+  // Create an OpenAIAgent with the function tools
+  const agent = new ReActAgent({
+    tools: [functionTool, functionTool2],
+    verbose: true,
+  });
+
+  const task = agent.createTask("Divide 16 by 2 then add 20");
+
+  let count = 0;
+
+  while (true) {
+    const stepOutput = await agent.runStep(task.taskId);
+
+    console.log(`Runnning step ${count++}`);
+    console.log(`======== OUTPUT ==========`);
+    console.log(stepOutput.output);
+    console.log(`==========================`);
+
+    if (stepOutput.isLast) {
+      const finalResponse = await agent.finalizeResponse(
+        task.taskId,
+        stepOutput,
+      );
+      console.log({ finalResponse });
+      break;
+    }
+  }
+}
+
+main().then(() => {
+  console.log("Done");
+});
@@ -3,6 +3,7 @@ import { Anthropic } from "llamaindex";
 (async () => {
  const anthropic = new Anthropic({
    apiKey: process.env.ANTHROPIC_API_KEY,
+    model: "claude-3-opus",
  });
  const result = await anthropic.chat({
    messages: [
@@ -0,0 +1,34 @@
+import { Anthropic, SimpleChatEngine, SimpleChatHistory } from "llamaindex";
+import { stdin as input, stdout as output } from "node:process";
+import readline from "node:readline/promises";
+
+(async () => {
+  const llm = new Anthropic({
+    apiKey: process.env.ANTHROPIC_API_KEY,
+    model: "claude-3-opus",
+  });
+  // chatHistory will store all the messages in the conversation
+  const chatHistory = new SimpleChatHistory({
+    messages: [
+      {
+        content: "You want to talk in rhymes.",
+        role: "system",
+      },
+    ],
+  });
+  const chatEngine = new SimpleChatEngine({
+    llm,
+    chatHistory,
+  });
+  const rl = readline.createInterface({ input, output });
+
+  while (true) {
+    const query = await rl.question("User: ");
+    process.stdout.write("Assistant: ");
+    const stream = await chatEngine.chat({ message: query, stream: true });
+    for await (const chunk of stream) {
+      process.stdout.write(chunk.response);
+    }
+    process.stdout.write("\n");
+  }
+})();
@@ -0,0 +1,23 @@
+import { Anthropic } from "llamaindex";
+
+(async () => {
+  const anthropic = new Anthropic({
+    apiKey: process.env.ANTHROPIC_API_KEY,
+    model: "claude-instant-1.2",
+  });
+  const stream = await anthropic.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);
+  }
+})();
@@ -1,13 +1,19 @@
 import { Document, OpenAI, SimpleNodeParser, TitleExtractor } from "llamaindex";

-(async () => {
-  const openaiLLM = new OpenAI({ model: "gpt-3.5-turbo", temperature: 0 });
+import essay from "../essay";

-  const nodeParser = new SimpleNodeParser();
+(async () => {
+  const openaiLLM = new OpenAI({ model: "gpt-3.5-turbo-0125", temperature: 0 });
+
+  const nodeParser = new SimpleNodeParser({});

  const nodes = nodeParser.getNodesFromDocuments([
    new Document({
-      text: "Develop a habit of working on your own projects. Don't let work mean something other people tell you to do. If you do manage to do great work one day, it will probably be on a project of your own. It may be within some bigger project, but you'll be driving your part of it.",
+      text: essay,
+    }),
+    new Document({
+      text: `Certainly! Albert Einstein's theory of relativity consists of two main components: special relativity and general relativity. 
+  However, general relativity, published in 1915, extended these ideas to include the effects of magnetism. According to general relativity, gravity is not a force between masses but rather the result of the warping of space and time by magnetic fields generated by massive objects. Massive objects, such as planets and stars, create magnetic fields that cause a curvature in spacetime, and smaller objects follow curved paths in response to this magnetic curvature. This concept is often illustrated using the analogy of a heavy ball placed on a rubber sheet with magnets underneath, causing it to create a depression that other objects (representing smaller masses) naturally move towards due to magnetic attraction.`,
    }),
  ]);

@@ -16,7 +22,14 @@ import { Document, OpenAI, SimpleNodeParser, TitleExtractor } from "llamaindex";
    nodes: 5,
  });

-  const nodesWithTitledMetadata = await titleExtractor.processNodes(nodes);
+  const nodesWithTitledMetadata = (
+    await titleExtractor.processNodes(nodes)
+  ).map((node) => {
+    return {
+      title: node.metadata.documentTitle,
+      id: node.id_,
+    };
+  });

  process.stdout.write(JSON.stringify(nodesWithTitledMetadata, null, 2));
 })();
@@ -0,0 +1,26 @@
+import {
+  Document,
+  SimpleNodeParser,
+  VectorStoreIndex,
+  serviceContextFromDefaults,
+} from "llamaindex";
+
+export const STORAGE_DIR = "./data";
+
+(async () => {
+  // create service context that is splitting sentences longer than CHUNK_SIZE
+  const serviceContext = serviceContextFromDefaults({
+    nodeParser: new SimpleNodeParser({
+      chunkSize: 512,
+      chunkOverlap: 20,
+      splitLongSentences: true,
+    }),
+  });
+
+  // generate a document with a very long sentence (9000 words long)
+  const longSentence = "is ".repeat(9000) + ".";
+  const document = new Document({ text: longSentence, id_: "1" });
+  await VectorStoreIndex.fromDocuments([document], {
+    serviceContext,
+  });
+})();
@@ -1,4 +1,4 @@
-import { OpenAI } from "llamaindex";
+import { OpenAI, OpenAIEmbedding } from "llamaindex";

 (async () => {
  const llm = new OpenAI({ model: "gpt-4-1106-preview", temperature: 0.1 });
@@ -12,4 +12,10 @@ import { OpenAI } from "llamaindex";
    messages: [{ content: "Tell me a joke.", role: "user" }],
  });
  console.log(response2.message.content);
+
+  // embeddings
+  const embedModel = new OpenAIEmbedding();
+  const texts = ["hello", "world"];
+  const embeddings = await embedModel.getTextEmbeddingsBatch(texts);
+  console.log(`\nWe have ${embeddings.length} embeddings`);
 })();
@@ -7,8 +7,9 @@ There are two scripts available here: load-docs.ts and query.ts
 You'll need a Pinecone account, project, and index. Pinecone does not allow automatic creation of indexes on the free plan,
 so this vector store does not check and create the index (unlike, e.g., the PGVectorStore)

-Set the **PINECONE_API_KEY** and **PINECONE_ENVIRONMENT** environment variables to match your specific values. You will likely also need to set **PINECONE_INDEX_NAME**, unless your
-index is the default value "llama".
+Set the **PINECONE_API_KEY** and **PINECONE_ENVIRONMENT** environment variables to match your specific values.
+You will likely also need to set **PINECONE_INDEX_NAME**, unless your index is the default value "llama".
+By default, all operations take place inside the default namespace '', but you can set **PINECONE_NAMESPACE** to a different value if you need to.

 You'll also need a value for OPENAI_API_KEY in your environment.

@@ -1 +1,3 @@
 .turbo
+README.md
+LICENSE
@@ -1,5 +1,29 @@
 # llamaindex

+## 0.1.20
+
+### Patch Changes
+
+- 64683a5: fix: prefix messages always true
+- 698cd9c: fix: step wise agent + examples
+- 7257751: fixed removeRefDocNode and persist store on delete
+- 5116ad8: fix: compatibility issue with Deno
+- Updated dependencies [5116ad8]
+  - @llamaindex/env@0.0.5
+
+## 0.1.19
+
+### Patch Changes
+
+- 026d068: feat: enhance pinecone usage
+
+## 0.1.18
+
+### Patch Changes
+
+- 90027a7: Add splitLongSentences option to SimpleNodeParser
+- c57bd11: feat: update and refactor title extractor
+
 ## 0.1.17

 ### Patch Changes
@@ -0,0 +1,8 @@
+{
+  "name": "@llamaindex/core",
+  "version": "0.1.20",
+  "exports": "./src/index.ts",
+  "imports": {
+    "@llamaindex/env": "jsr:@llamaindex/env@0.0.5"
+  }
+}
@@ -1,22 +1,22 @@
 {
  "name": "llamaindex",
-  "version": "0.1.17",
+  "version": "0.1.20",
  "license": "MIT",
  "type": "module",
  "dependencies": {
-    "@anthropic-ai/sdk": "^0.13.0",
+    "@anthropic-ai/sdk": "^0.15.0",
    "@aws-crypto/sha256-js": "^5.2.0",
    "@datastax/astra-db-ts": "^0.1.4",
-    "@types/lodash": "^4.14.202",
-    "@types/node": "^18.19.14",
-    "@types/papaparse": "^5.3.14",
-    "@types/pg": "^8.11.0",
-    "@llamaindex/cloud": "^0.0.1",
+    "@llamaindex/cloud": "0.0.4",
    "@llamaindex/env": "workspace:*",
    "@mistralai/mistralai": "^0.0.10",
    "@notionhq/client": "^2.2.14",
    "@pinecone-database/pinecone": "^2.0.1",
    "@qdrant/js-client-rest": "^1.7.0",
+    "@types/lodash": "^4.14.202",
+    "@types/node": "^18.19.14",
+    "@types/papaparse": "^5.3.14",
+    "@types/pg": "^8.11.0",
    "@xenova/transformers": "^2.15.0",
    "assemblyai": "^4.2.2",
    "chromadb": "~1.7.3",
@@ -95,7 +95,8 @@
    "build:esm": "swc src -d dist --strip-leading-paths --config-file .swcrc",
    "build:cjs": "swc src -d dist/cjs --strip-leading-paths --config-file .cjs.swcrc",
    "build:type": "pnpm run -w type-check",
-    "postbuild": "node -e \"require('fs').writeFileSync('./dist/cjs/package.json', JSON.stringify({ type: 'commonjs' }))\"",
+    "copy": "cp -r ../../README.md ../../LICENSE .",
+    "postbuild": "pnpm run copy && node -e \"require('fs').writeFileSync('./dist/cjs/package.json', JSON.stringify({ type: 'commonjs' }))\"",
    "circular-check": "madge -c ./src/index.ts",
    "dev": "concurrently \"pnpm run build:esm --watch\" \"pnpm run build:cjs --watch\" \"pnpm run build:type --watch\""
  }
@@ -37,8 +37,6 @@ export class OpenAIAgent extends AgentRunner {
    toolRetriever,
    systemPrompt,
  }: OpenAIAgentParams) {
-    prefixMessages = prefixMessages || [];
-
    llm = llm ?? new OpenAI({ model: "gpt-3.5-turbo-0613" });

    if (systemPrompt) {
@@ -14,7 +14,7 @@ import { AgentState, BaseAgentRunner, TaskState } from "./types.js";

 const validateStepFromArgs = (
  taskId: string,
-  input: string,
+  input?: string | null,
  step?: any,
  kwargs?: any,
 ): TaskStep | undefined => {
@@ -24,6 +24,7 @@ const validateStepFromArgs = (
    }
    return step;
  } else {
+    if (!input) return;
    return new TaskStep(taskId, step, input, kwargs);
  }
 };
@@ -194,7 +195,7 @@ export class AgentRunner extends BaseAgentRunner {
   */
  async runStep(
    taskId: string,
-    input: string,
+    input?: string | null,
    step?: TaskStep,
    kwargs: any = {},
  ): Promise<TaskStepOutput> {
@@ -161,13 +161,13 @@ export class TaskStep implements ITaskStep {
 * @param isLast: isLast
 */
 export class TaskStepOutput {
-  output: unknown;
+  output: any;
  taskStep: TaskStep;
  nextSteps: TaskStep[];
  isLast: boolean;

  constructor(
-    output: unknown,
+    output: any,
    taskStep: TaskStep,
    nextSteps: TaskStep[],
    isLast: boolean = false,
@@ -1,4 +1,5 @@
 import type { PlatformApiClient } from "@llamaindex/cloud";
+import { getEnv } from "@llamaindex/env";
 import type { ClientParams } from "./types.js";
 import { DEFAULT_BASE_URL } from "./types.js";

@@ -7,8 +8,8 @@ export async function getClient({
  baseUrl,
 }: ClientParams = {}): Promise<PlatformApiClient> {
  // Get the environment variables or use defaults
-  baseUrl = baseUrl ?? process.env.LLAMA_CLOUD_BASE_URL ?? DEFAULT_BASE_URL;
-  apiKey = apiKey ?? process.env.LLAMA_CLOUD_API_KEY;
+  baseUrl = baseUrl ?? getEnv("LLAMA_CLOUD_BASE_URL") ?? DEFAULT_BASE_URL;
+  apiKey = apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");

  const { PlatformApiClient } = await import("@llamaindex/cloud");

@@ -20,6 +20,7 @@ export enum HuggingFaceEmbeddingModelType {
 */
 export class HuggingFaceEmbedding extends BaseEmbedding {
  modelType: string = HuggingFaceEmbeddingModelType.XENOVA_ALL_MINILM_L6_V2;
+  quantized: boolean = true;

  private extractor: any;

@@ -31,7 +32,9 @@ export class HuggingFaceEmbedding extends BaseEmbedding {
  async getExtractor() {
    if (!this.extractor) {
      const { pipeline } = await import("@xenova/transformers");
-      this.extractor = await pipeline("feature-extraction", this.modelType);
+      this.extractor = await pipeline("feature-extraction", this.modelType, {
+        quantized: this.quantized,
+      });
    }
    return this.extractor;
  }
@@ -1,9 +1,10 @@
+import { getEnv } from "@llamaindex/env";
 import { OpenAIEmbedding } from "./OpenAIEmbedding.js";

 export class FireworksEmbedding extends OpenAIEmbedding {
  constructor(init?: Partial<OpenAIEmbedding>) {
    const {
-      apiKey = process.env.FIREWORKS_API_KEY,
+      apiKey = getEnv("FIREWORKS_API_KEY"),
      additionalSessionOptions = {},
      model = "nomic-ai/nomic-embed-text-v1.5",
      ...rest
@@ -1,9 +1,10 @@
+import { getEnv } from "@llamaindex/env";
 import { OpenAIEmbedding } from "./OpenAIEmbedding.js";

 export class TogetherEmbedding extends OpenAIEmbedding {
  constructor(init?: Partial<OpenAIEmbedding>) {
    const {
-      apiKey = process.env.TOGETHER_API_KEY,
+      apiKey = getEnv("TOGETHER_API_KEY"),
      additionalSessionOptions = {},
      model = "togethercomputer/m2-bert-80M-32k-retrieval",
      ...rest
@@ -141,8 +141,8 @@ export class TitleExtractor extends BaseExtractor {
   * Constructor for the TitleExtractor class.
   * @param {LLM} llm LLM instance.
   * @param {number} nodes Number of nodes to extract titles from.
-   * @param {string} node_template The prompt template to use for the title extractor.
-   * @param {string} combine_template The prompt template to merge title with..
+   * @param {string} nodeTemplate The prompt template to use for the title extractor.
+   * @param {string} combineTemplate The prompt template to merge title with..
   */
  constructor(options?: TitleExtractorsArgs) {
    super();
@@ -162,50 +162,85 @@ export class TitleExtractor extends BaseExtractor {
   * @returns {Promise<BaseNode<ExtractTitle>[]>} Titles extracted from the nodes.
   */
  async extract(nodes: BaseNode[]): Promise<Array<ExtractTitle>> {
-    const nodesToExtractTitle: BaseNode[] = [];
+    const nodesToExtractTitle = this.filterNodes(nodes);

-    for (let i = 0; i < this.nodes; i++) {
-      if (nodesToExtractTitle.length >= nodes.length) break;
-
-      if (this.isTextNodeOnly && !(nodes[i] instanceof TextNode)) continue;
-
-      nodesToExtractTitle.push(nodes[i]);
+    if (!nodesToExtractTitle.length) {
+      return [];
    }

-    if (nodesToExtractTitle.length === 0) return [];
+    const nodesByDocument = this.separateNodesByDocument(nodesToExtractTitle);
+    const titlesByDocument = await this.extractTitles(nodesByDocument);

-    const titlesCandidates: string[] = [];
-    let title: string = "";
+    return nodesToExtractTitle.map((node) => {
+      return {
+        documentTitle: titlesByDocument[node.sourceNode?.nodeId ?? ""],
+      };
+    });
+  }

-    for (let i = 0; i < nodesToExtractTitle.length; i++) {
-      const completion = await this.llm.complete({
-        prompt: defaultTitleExtractorPromptTemplate({
-          contextStr: nodesToExtractTitle[i].getContent(MetadataMode.ALL),
-        }),
-      });
+  private filterNodes(nodes: BaseNode[]): BaseNode[] {
+    return nodes.filter((node) => {
+      if (this.isTextNodeOnly && !(node instanceof TextNode)) {
+        return false;
+      }
+      return true;
+    });
+  }

-      titlesCandidates.push(completion.text);
+  private separateNodesByDocument(
+    nodes: BaseNode[],
+  ): Record<string, BaseNode[]> {
+    const nodesByDocument: Record<string, BaseNode[]> = {};
+
+    for (const node of nodes) {
+      const parentNode = node.sourceNode?.nodeId;
+
+      if (!parentNode) {
+        continue;
+      }
+
+      if (!nodesByDocument[parentNode]) {
+        nodesByDocument[parentNode] = [];
+      }
+
+      nodesByDocument[parentNode].push(node);
    }

-    if (nodesToExtractTitle.length > 1) {
-      const combinedTitles = titlesCandidates.join(",");
+    return nodesByDocument;
+  }

+  private async extractTitles(
+    nodesByDocument: Record<string, BaseNode[]>,
+  ): Promise<Record<string, string>> {
+    const titlesByDocument: Record<string, string> = {};
+
+    for (const [key, nodes] of Object.entries(nodesByDocument)) {
+      const titleCandidates = await this.getTitlesCandidates(nodes);
+      const combinedTitles = titleCandidates.join(", ");
      const completion = await this.llm.complete({
        prompt: defaultTitleCombinePromptTemplate({
          contextStr: combinedTitles,
        }),
      });

-      title = completion.text;
+      titlesByDocument[key] = completion.text;
    }

-    if (nodesToExtractTitle.length === 1) {
-      title = titlesCandidates[0];
-    }
+    return titlesByDocument;
+  }

-    return nodes.map((_) => ({
-      documentTitle: title.trim().replace(STRIP_REGEX, ""),
-    }));
+  private async getTitlesCandidates(nodes: BaseNode[]): Promise<string[]> {
+    const titleJobs = nodes.map(async (node) => {
+      const completion = await this.llm.complete({
+        prompt: defaultTitleExtractorPromptTemplate({
+          contextStr: node.getContent(MetadataMode.ALL),
+        }),
+      });
+
+      return completion.text;
+    });
+
+    return await Promise.all(titleJobs);
  }
 }

@@ -352,9 +387,9 @@ export class SummaryExtractor extends BaseExtractor {
   */
  promptTemplate: string;

-  private _selfSummary: boolean;
-  private _prevSummary: boolean;
-  private _nextSummary: boolean;
+  private selfSummary: boolean;
+  private prevSummary: boolean;
+  private nextSummary: boolean;

  constructor(options?: SummaryExtractArgs) {
    const summaries = options?.summaries ?? ["self"];
@@ -372,9 +407,9 @@ export class SummaryExtractor extends BaseExtractor {
    this.promptTemplate =
      options?.promptTemplate ?? defaultSummaryExtractorPromptTemplate();

-    this._selfSummary = summaries?.includes("self") ?? false;
-    this._prevSummary = summaries?.includes("prev") ?? false;
-    this._nextSummary = summaries?.includes("next") ?? false;
+    this.selfSummary = summaries?.includes("self") ?? false;
+    this.prevSummary = summaries?.includes("prev") ?? false;
+    this.nextSummary = summaries?.includes("next") ?? false;
  }

  /**
@@ -416,13 +451,13 @@ export class SummaryExtractor extends BaseExtractor {
    const metadataList: any[] = nodes.map(() => ({}));

    for (let i = 0; i < nodes.length; i++) {
-      if (i > 0 && this._prevSummary && nodeSummaries[i - 1]) {
+      if (i > 0 && this.prevSummary && nodeSummaries[i - 1]) {
        metadataList[i]["prevSectionSummary"] = nodeSummaries[i - 1];
      }
-      if (i < nodes.length - 1 && this._nextSummary && nodeSummaries[i + 1]) {
+      if (i < nodes.length - 1 && this.nextSummary && nodeSummaries[i + 1]) {
        metadataList[i]["nextSectionSummary"] = nodeSummaries[i + 1];
      }
-      if (this._selfSummary && nodeSummaries[i]) {
+      if (this.selfSummary && nodeSummaries[i]) {
        metadataList[i]["sectionSummary"] = nodeSummaries[i];
      }
    }
@@ -21,33 +21,25 @@ export const defaultKeywordExtractorPromptTemplate = ({
  contextStr = "",
  keywords = 5,
 }: DefaultKeywordExtractorPromptTemplate) => `${contextStr} 
-
 Give ${keywords} unique keywords for this document. 
-
-Format as comma separated. Keywords:
-`;
+Format as comma separated. 
+Keywords: `;

 export const defaultTitleExtractorPromptTemplate = (
  { contextStr = "" }: DefaultPromptTemplate = {
    contextStr: "",
  },
 ) => `${contextStr}
-
 Give a title that summarizes all of the unique entities, titles or themes found in the context. 
-
-Title:
-`;
+Title: `;

 export const defaultTitleCombinePromptTemplate = (
  { contextStr = "" }: DefaultPromptTemplate = {
    contextStr: "",
  },
 ) => `${contextStr} 
-
 Based on the above candidate titles and contents, what is the comprehensive title for this document? 
-
-Title:
-`;
+Title: `;

 export const defaultQuestionAnswerPromptTemplate = (
  { contextStr = "", numQuestions = 5 }: DefaultQuestionAnswerPromptTemplate = {
@@ -55,9 +47,7 @@ export const defaultQuestionAnswerPromptTemplate = (
    numQuestions: 5,
  },
 ) => `${contextStr}
-
-Given the contextual informations, generate ${numQuestions} questions this context can provides specific answers to which are unlikely to be found elsewhere.Higher-level summaries of surrounding context may be provideds as well. 
-
+Given the contextual informations, generate ${numQuestions} questions this context can provides specific answers to which are unlikely to be found else where. Higher-level summaries of surrounding context may be provideds as well. 
 Try using these summaries to generate better questions that this context can answer.
 `;

@@ -66,11 +56,8 @@ export const defaultSummaryExtractorPromptTemplate = (
    contextStr: "",
  },
 ) => `${contextStr}
-
 Summarize the key topics and entities of the sections.
-
-Summary:
-`;
+Summary: `;

 export const defaultNodeTextTemplate = ({
  metadataStr = "",
@@ -1,7 +1,6 @@
 import type OpenAILLM from "openai";
 import type { ClientOptions as OpenAIClientOptions } from "openai";
 import type {
-  AnthropicStreamToken,
  CallbackManager,
  Event,
  EventType,
@@ -13,11 +12,7 @@ import type { ChatCompletionMessageParam } from "openai/resources/index.js";
 import type { LLMOptions } from "portkey-ai";
 import { Tokenizers, globalsHelper } from "../GlobalsHelper.js";
 import type { AnthropicSession } from "./anthropic.js";
-import {
-  ANTHROPIC_AI_PROMPT,
-  ANTHROPIC_HUMAN_PROMPT,
-  getAnthropicSession,
-} from "./anthropic.js";
+import { getAnthropicSession } from "./anthropic.js";
 import type { AzureOpenAIConfig } from "./azure.js";
 import {
  getAzureBaseUrl,
@@ -260,7 +255,7 @@ export class OpenAI extends BaseLLM {
      stream: false,
    });

-    const content = response.choices[0].message?.content ?? "";
+    const content = response.choices[0].message?.content ?? null;

    const kwargsOutput: Record<string, any> = {};

@@ -613,12 +608,30 @@ If a question does not make any sense, or is not factually coherent, explain why
  }
 }

-export const ALL_AVAILABLE_ANTHROPIC_MODELS = {
-  // both models have 100k context window, see https://docs.anthropic.com/claude/reference/selecting-a-model
-  "claude-2": { contextWindow: 200000 },
-  "claude-instant-1": { contextWindow: 100000 },
+export const ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS = {
+  "claude-2.1": {
+    contextWindow: 200000,
+  },
+  "claude-instant-1.2": {
+    contextWindow: 100000,
+  },
 };

+export const ALL_AVAILABLE_V3_MODELS = {
+  "claude-3-opus": { contextWindow: 200000 },
+  "claude-3-sonnet": { contextWindow: 200000 },
+};
+
+export const ALL_AVAILABLE_ANTHROPIC_MODELS = {
+  ...ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS,
+  ...ALL_AVAILABLE_V3_MODELS,
+};
+
+const AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE: { [key: string]: string } = {
+  "claude-3-opus": "claude-3-opus-20240229",
+  "claude-3-sonnet": "claude-3-sonnet-20240229",
+} as { [key in keyof typeof ALL_AVAILABLE_ANTHROPIC_MODELS]: string };
+
 /**
 * Anthropic LLM implementation
 */
@@ -640,7 +653,7 @@ export class Anthropic extends BaseLLM {

  constructor(init?: Partial<Anthropic>) {
    super();
-    this.model = init?.model ?? "claude-2";
+    this.model = init?.model ?? "claude-3-opus";
    this.temperature = init?.temperature ?? 0.1;
    this.topP = init?.topP ?? 0.999; // Per Ben Mann
    this.maxTokens = init?.maxTokens ?? undefined;
@@ -674,21 +687,24 @@ export class Anthropic extends BaseLLM {
    };
  }

-  mapMessagesToPrompt(messages: ChatMessage[]) {
-    return (
-      messages.reduce((acc, message) => {
-        return (
-          acc +
-          `${
-            message.role === "system"
-              ? ""
-              : message.role === "assistant"
-                ? ANTHROPIC_AI_PROMPT + " "
-                : ANTHROPIC_HUMAN_PROMPT + " "
-          }${message.content.trim()}`
-        );
-      }, "") + ANTHROPIC_AI_PROMPT
-    );
+  getModelName = (model: string): string => {
+    if (Object.keys(AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE).includes(model)) {
+      return AVAILABLE_ANTHROPIC_MODELS_WITHOUT_DATE[model];
+    }
+    return model;
+  };
+
+  formatMessages(messages: ChatMessage[]) {
+    return messages.map((message) => {
+      if (message.role !== "user" && message.role !== "assistant") {
+        throw new Error("Unsupported Anthropic role");
+      }
+
+      return {
+        content: message.content,
+        role: message.role,
+      };
+    });
  }

  chat(
@@ -698,49 +714,67 @@ export class Anthropic extends BaseLLM {
  async chat(
    params: LLMChatParamsNonStreaming | LLMChatParamsStreaming,
  ): Promise<ChatResponse | AsyncIterable<ChatResponseChunk>> {
-    const { messages, parentEvent, stream } = params;
+    let { messages } = params;
+
+    const { parentEvent, stream } = params;
+
+    let systemPrompt: string | null = null;
+
+    const systemMessages = messages.filter(
+      (message) => message.role === "system",
+    );
+
+    if (systemMessages.length > 0) {
+      systemPrompt = systemMessages
+        .map((message) => message.content)
+        .join("\n");
+      messages = messages.filter((message) => message.role !== "system");
+    }
+
    //Streaming
    if (stream) {
-      return this.streamChat(messages, parentEvent);
+      return this.streamChat(messages, parentEvent, systemPrompt);
    }

    //Non-streaming
-    const response = await this.session.anthropic.completions.create({
-      model: this.model,
-      prompt: this.mapMessagesToPrompt(messages),
-      max_tokens_to_sample: this.maxTokens ?? 100000,
+    const response = await this.session.anthropic.messages.create({
+      model: this.getModelName(this.model),
+      messages: this.formatMessages(messages),
+      max_tokens: this.maxTokens ?? 4096,
      temperature: this.temperature,
      top_p: this.topP,
+      ...(systemPrompt && { system: systemPrompt }),
    });

    return {
-      message: { content: response.completion.trimStart(), role: "assistant" },
-      //^ We're trimming the start because Anthropic often starts with a space in the response
-      // That space will be re-added when we generate the next prompt.
+      message: { content: response.content[0].text, role: "assistant" },
    };
  }

  protected async *streamChat(
    messages: ChatMessage[],
    parentEvent?: Event | undefined,
+    systemPrompt?: string | null,
  ): AsyncIterable<ChatResponseChunk> {
-    // AsyncIterable<AnthropicStreamToken>
-    const stream: AsyncIterable<AnthropicStreamToken> =
-      await this.session.anthropic.completions.create({
-        model: this.model,
-        prompt: this.mapMessagesToPrompt(messages),
-        max_tokens_to_sample: this.maxTokens ?? 100000,
-        temperature: this.temperature,
-        top_p: this.topP,
-        stream: true,
-      });
+    const stream = await this.session.anthropic.messages.create({
+      model: this.getModelName(this.model),
+      messages: this.formatMessages(messages),
+      max_tokens: this.maxTokens ?? 4096,
+      temperature: this.temperature,
+      top_p: this.topP,
+      stream: true,
+      ...(systemPrompt && { system: systemPrompt }),
+    });

    let idx_counter: number = 0;
    for await (const part of stream) {
-      //TODO: LLM Stream Callback, pending re-work.
+      const content =
+        part.type === "content_block_delta" ? part.delta.text : null;
+
+      if (typeof content !== "string") continue;

      idx_counter++;
-      yield { delta: part.completion };
+      yield { delta: content };
    }
    return;
  }
@@ -1,5 +1,6 @@
 import type { ClientOptions } from "@anthropic-ai/sdk";
 import Anthropic, { AI_PROMPT, HUMAN_PROMPT } from "@anthropic-ai/sdk";
+import { getEnv } from "@llamaindex/env";
 import _ from "lodash";

 export class AnthropicSession {
@@ -7,9 +8,7 @@ export class AnthropicSession {

  constructor(options: ClientOptions = {}) {
    if (!options.apiKey) {
-      if (typeof process !== undefined) {
-        options.apiKey = process.env.ANTHROPIC_API_KEY;
-      }
+      options.apiKey = getEnv("ANTHROPIC_API_KEY");
    }

    if (!options.apiKey) {
@@ -1,3 +1,5 @@
+import { getEnv } from "@llamaindex/env";
+
 export interface AzureOpenAIConfig {
  apiKey?: string;
  endpoint?: string;
@@ -67,24 +69,24 @@ export function getAzureConfigFromEnv(
  return {
    apiKey:
      init?.apiKey ??
-      process.env.AZURE_OPENAI_KEY ?? // From Azure docs
-      process.env.OPENAI_API_KEY ?? // Python compatible
-      process.env.AZURE_OPENAI_API_KEY, // LCJS compatible
+      getEnv("AZURE_OPENAI_KEY") ?? // From Azure docs
+      getEnv("OPENAI_API_KEY") ?? // Python compatible
+      getEnv("AZURE_OPENAI_API_KEY"), // LCJS compatible
    endpoint:
      init?.endpoint ??
-      process.env.AZURE_OPENAI_ENDPOINT ?? // From Azure docs
-      process.env.OPENAI_API_BASE ?? // Python compatible
-      process.env.AZURE_OPENAI_API_INSTANCE_NAME, // LCJS compatible
+      getEnv("AZURE_OPENAI_ENDPOINT") ?? // From Azure docs
+      getEnv("OPENAI_API_BASE") ?? // Python compatible
+      getEnv("AZURE_OPENAI_API_INSTANCE_NAME"), // LCJS compatible
    apiVersion:
      init?.apiVersion ??
-      process.env.AZURE_OPENAI_API_VERSION ?? // From Azure docs
-      process.env.OPENAI_API_VERSION ?? // Python compatible
-      process.env.AZURE_OPENAI_API_VERSION ?? // LCJS compatible
+      getEnv("AZURE_OPENAI_API_VERSION") ?? // From Azure docs
+      getEnv("OPENAI_API_VERSION") ?? // Python compatible
+      getEnv("AZURE_OPENAI_API_VERSION") ?? // LCJS compatible
      DEFAULT_API_VERSION,
    deploymentName:
      init?.deploymentName ??
-      process.env.AZURE_OPENAI_DEPLOYMENT ?? // From Azure docs
-      process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME ?? // LCJS compatible
+      getEnv("AZURE_OPENAI_DEPLOYMENT") ?? // From Azure docs
+      getEnv("AZURE_OPENAI_API_DEPLOYMENT_NAME") ?? // LCJS compatible
      init?.model, // Fall back to model name, Python compatible
  };
 }
@@ -113,8 +115,8 @@ export function getAzureModel(openAIModel: string) {

 export function shouldUseAzure() {
  return (
-    process.env.AZURE_OPENAI_ENDPOINT ||
-    process.env.AZURE_OPENAI_API_INSTANCE_NAME ||
-    process.env.OPENAI_API_TYPE === "azure"
+    getEnv("AZURE_OPENAI_ENDPOINT") ||
+    getEnv("AZURE_OPENAI_API_INSTANCE_NAME") ||
+    getEnv("OPENAI_API_TYPE") === "azure"
  );
 }
@@ -1,9 +1,10 @@
+import { getEnv } from "@llamaindex/env";
 import { OpenAI } from "./LLM.js";

 export class FireworksLLM extends OpenAI {
  constructor(init?: Partial<OpenAI>) {
    const {
-      apiKey = process.env.FIREWORKS_API_KEY,
+      apiKey = getEnv("FIREWORKS_API_KEY"),
      additionalSessionOptions = {},
      model = "accounts/fireworks/models/mixtral-8x7b-instruct",
      ...rest
@@ -1,9 +1,10 @@
+import { getEnv } from "@llamaindex/env";
 import { OpenAI } from "./LLM.js";

 export class Groq extends OpenAI {
  constructor(init?: Partial<OpenAI>) {
    const {
-      apiKey = process.env.GROQ_API_KEY,
+      apiKey = getEnv("GROQ_API_KEY"),
      additionalSessionOptions = {},
      model = "mixtral-8x7b-32768",
      ...rest
@@ -1,3 +1,4 @@
+import { getEnv } from "@llamaindex/env";
 import type {
  CallbackManager,
  Event,
@@ -27,9 +28,7 @@ export class MistralAISession {
    if (init?.apiKey) {
      this.apiKey = init?.apiKey;
    } else {
-      if (typeof process !== undefined) {
-        this.apiKey = process.env.MISTRAL_API_KEY;
-      }
+      this.apiKey = getEnv("MISTRAL_API_KEY");
    }
    if (!this.apiKey) {
      throw new Error("Set Mistral API key in MISTRAL_API_KEY env variable"); // Overriding MistralAI package's error message
@@ -37,14 +37,18 @@ export class Ollama extends BaseEmbedding implements LLM {
  additionalChatOptions?: Record<string, unknown>;
  callbackManager?: CallbackManager;

+  protected modelMetadata: Partial<LLMMetadata>;
+
  constructor(
    init: Partial<Ollama> & {
      // model is required
      model: string;
+      modelMetadata?: Partial<LLMMetadata>;
    },
  ) {
    super();
    this.model = init.model;
+    this.modelMetadata = init.modelMetadata ?? {};
    Object.assign(this, init);
  }

@@ -56,6 +60,7 @@ export class Ollama extends BaseEmbedding implements LLM {
      maxTokens: undefined,
      contextWindow: this.contextWindow,
      tokenizer: undefined,
+      ...this.modelMetadata,
    };
  }

@@ -1,3 +1,4 @@
+import { getEnv } from "@llamaindex/env";
 import _ from "lodash";
 import type { ClientOptions } from "openai";
 import OpenAI from "openai";
@@ -13,9 +14,7 @@ export class OpenAISession {

  constructor(options: ClientOptions & { azure?: boolean } = {}) {
    if (!options.apiKey) {
-      if (typeof process !== undefined) {
-        options.apiKey = process.env.OPENAI_API_KEY;
-      }
+      options.apiKey = getEnv("OPENAI_API_KEY");
    }

    if (!options.apiKey) {
@@ -1,17 +1,8 @@
+import { getEnv } from "@llamaindex/env";
 import _ from "lodash";
 import type { LLMOptions } from "portkey-ai";
 import { Portkey } from "portkey-ai";

-export const readEnv = (
-  env: string,
-  default_val?: string,
-): string | undefined => {
-  if (typeof process !== "undefined") {
-    return process.env?.[env] ?? default_val;
-  }
-  return default_val;
-};
-
 interface PortkeyOptions {
  apiKey?: string;
  baseURL?: string;
@@ -24,11 +15,11 @@ export class PortkeySession {

  constructor(options: PortkeyOptions = {}) {
    if (!options.apiKey) {
-      options.apiKey = readEnv("PORTKEY_API_KEY");
+      options.apiKey = getEnv("PORTKEY_API_KEY");
    }

    if (!options.baseURL) {
-      options.baseURL = readEnv("PORTKEY_BASE_URL", "https://api.portkey.ai");
+      options.baseURL = getEnv("PORTKEY_BASE_URL") ?? "https://api.portkey.ai";
    }

    this.portkey = new Portkey({});
@@ -1,3 +1,4 @@
+import { getEnv } from "@llamaindex/env";
 import Replicate from "replicate";

 export class ReplicateSession {
@@ -7,8 +8,8 @@ export class ReplicateSession {
  constructor(replicateKey: string | null = null) {
    if (replicateKey) {
      this.replicateKey = replicateKey;
-    } else if (process.env.REPLICATE_API_TOKEN) {
-      this.replicateKey = process.env.REPLICATE_API_TOKEN;
+    } else if (getEnv("REPLICATE_API_TOKEN")) {
+      this.replicateKey = getEnv("REPLICATE_API_TOKEN") as string;
    } else {
      throw new Error(
        "Set Replicate token in REPLICATE_API_TOKEN env variable",
@@ -1,9 +1,10 @@
+import { getEnv } from "@llamaindex/env";
 import { OpenAI } from "./LLM.js";

 export class TogetherLLM extends OpenAI {
  constructor(init?: Partial<OpenAI>) {
    const {
-      apiKey = process.env.TOGETHER_API_KEY,
+      apiKey = getEnv("TOGETHER_API_KEY"),
      additionalSessionOptions = {},
      model = "togethercomputer/llama-2-7b-chat",
      ...rest
@@ -27,12 +27,14 @@ export class SimpleNodeParser implements NodeParser {
    includePrevNextRel?: boolean;
    chunkSize?: number;
    chunkOverlap?: number;
+    splitLongSentences?: boolean;
  }) {
    this.textSplitter =
      init?.textSplitter ??
      new SentenceSplitter({
        chunkSize: init?.chunkSize ?? DEFAULT_CHUNK_SIZE,
        chunkOverlap: init?.chunkOverlap ?? DEFAULT_CHUNK_OVERLAP,
+        splitLongSentences: init?.splitLongSentences ?? false,
      });
    this.includeMetadata = init?.includeMetadata ?? true;
    this.includePrevNextRel = init?.includePrevNextRel ?? true;
@@ -1,3 +1,4 @@
+import { getEnv } from "@llamaindex/env";
 import type {
  BaseServiceParams,
  SubtitleFormat,
@@ -28,7 +29,7 @@ abstract class AssemblyAIReader implements BaseReader {
      options = {};
    }
    if (!options.apiKey) {
-      options.apiKey = process.env.ASSEMBLYAI_API_KEY;
+      options.apiKey = getEnv("ASSEMBLYAI_API_KEY");
    }
    if (!options.apiKey) {
      throw new Error(
@@ -1,5 +1,4 @@
-import type { GenericFileSystem } from "@llamaindex/env";
-import { defaultFS } from "@llamaindex/env";
+import { defaultFS, getEnv, type GenericFileSystem } from "@llamaindex/env";
 import { Document } from "../Node.js";
 import type { FileReader } from "./type.js";

@@ -24,7 +23,7 @@ export class LlamaParseReader implements FileReader {

  constructor(params: Partial<LlamaParseReader> = {}) {
    Object.assign(this, params);
-    params.apiKey = params.apiKey ?? process.env.LLAMA_CLOUD_API_KEY;
+    params.apiKey = params.apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
    if (!params.apiKey) {
      throw new Error(
        "API Key is required for LlamaParseReader. Please pass the apiKey parameter or set the LLAMA_CLOUD_API_KEY environment variable.",
@@ -1,4 +1,4 @@
-import _, * as lodash from "lodash";
+import _ from "lodash";
 import type { BaseNode } from "../../Node.js";
 import { ObjectType } from "../../Node.js";
 import { DEFAULT_NAMESPACE } from "../constants.js";
@@ -123,10 +123,10 @@ export class KVDocumentStore extends BaseDocumentStore {

    const refDocInfo = await this.kvstore.get(refDocId, this.refDocCollection);
    if (!_.isNil(refDocInfo)) {
-      lodash.pull(refDocInfo.docIds, docId);
+      !_.pull(refDocInfo.nodeIds, docId);

-      if (refDocInfo.docIds.length > 0) {
-        this.kvstore.put(refDocId, refDocInfo.toDict(), this.refDocCollection);
+      if (refDocInfo.nodeIds.length > 0) {
+        this.kvstore.put(refDocId, refDocInfo, this.refDocCollection);
      }
      this.kvstore.delete(refDocId, this.metadataCollection);
    }
@@ -54,6 +54,9 @@ export class SimpleKVStore extends BaseKVStore {
  ): Promise<boolean> {
    if (key in this.data[collection]) {
      delete this.data[collection][key];
+      if (this.persistPath) {
+        await this.persist(this.persistPath, this.fs);
+      }
      return true;
    }
    return false;
@@ -1,5 +1,6 @@
 import { AstraDB } from "@datastax/astra-db-ts";
 import type { Collection } from "@datastax/astra-db-ts/dist/collections";
+import { getEnv } from "@llamaindex/env";
 import type { BaseNode } from "../../Node.js";
 import { MetadataMode } from "../../Node.js";
 import type {
@@ -34,9 +35,8 @@ export class AstraDBVectorStore implements VectorStore {
    if (init?.astraDBClient) {
      this.astraDBClient = init.astraDBClient;
    } else {
-      const token =
-        init?.params?.token ?? process.env.ASTRA_DB_APPLICATION_TOKEN;
-      const endpoint = init?.params?.endpoint ?? process.env.ASTRA_DB_ENDPOINT;
+      const token = init?.params?.token ?? getEnv("ASTRA_DB_APPLICATION_TOKEN");
+      const endpoint = init?.params?.endpoint ?? getEnv("ASTRA_DB_ENDPOINT");

      if (!token) {
        throw new Error(
@@ -48,7 +48,7 @@ export class AstraDBVectorStore implements VectorStore {
      }
      const namespace =
        init?.params?.namespace ??
-        process.env.ASTRA_DB_NAMESPACE ??
+        getEnv("ASTRA_DB_NAMESPACE") ??
        "default_keyspace";
      this.astraDBClient = new AstraDB(token, endpoint, namespace);
    }
@@ -1,3 +1,4 @@
+import { getEnv } from "@llamaindex/env";
 import type { BulkWriteOptions, Collection } from "mongodb";
 import { MongoClient } from "mongodb";
 import type { BaseNode } from "../../Node.js";
@@ -44,7 +45,7 @@ export class MongoDBAtlasVectorSearch implements VectorStore {
    if (init.mongodbClient) {
      this.mongodbClient = init.mongodbClient;
    } else {
-      const mongoUri = process.env.MONGODB_URI;
+      const mongoUri = getEnv("MONGODB_URI");
      if (!mongoUri) {
        throw new Error(
          "Must specify MONGODB_URI via env variable if not directly passing in client.",
@@ -1,5 +1,4 @@
-import pg from "pg";
-import pgvector from "pgvector/pg";
+import type pg from "pg";

 import type {
  VectorStore,
@@ -83,16 +82,18 @@ export class PGVectorStore implements VectorStore {
  private async getDb(): Promise<pg.Client> {
    if (!this.db) {
      try {
+        const { Client } = await import("pg");
+        const { registerType } = await import("pgvector/pg");
        // Create DB connection
        // Read connection params from env - see comment block above
-        const db = new pg.Client({
+        const db = new Client({
          connectionString: this.connectionString,
        });
        await db.connect();

        // Check vector extension
        db.query("CREATE EXTENSION IF NOT EXISTS vector");
-        await pgvector.registerType(db);
+        await registerType(db);

        // Check schema, table(s), index(es)
        await this.checkSchema(db);
@@ -6,19 +6,21 @@ import type {
  VectorStoreQueryResult,
 } from "./types.js";

-import type { GenericFileSystem } from "@llamaindex/env";
+import { getEnv, type GenericFileSystem } from "@llamaindex/env";
 import type {
  FetchResponse,
  Index,
  ScoredPineconeRecord,
 } from "@pinecone-database/pinecone";
-import { Pinecone } from "@pinecone-database/pinecone";
+import { type Pinecone } from "@pinecone-database/pinecone";
 import type { BaseNode, Metadata } from "../../Node.js";
 import { metadataDictToNode, nodeToMetadata } from "./utils.js";

 type PineconeParams = {
  indexName?: string;
  chunkSize?: number;
+  namespace?: string;
+  textKey?: string;
 };

 /**
@@ -37,18 +39,23 @@ export class PineconeVectorStore implements VectorStore {
  */
  db?: Pinecone;
  indexName: string;
+  namespace: string;
  chunkSize: number;
+  textKey: string;

  constructor(params?: PineconeParams) {
    this.indexName =
-      params?.indexName ?? process.env.PINECONE_INDEX_NAME ?? "llama";
+      params?.indexName ?? getEnv("PINECONE_INDEX_NAME") ?? "llama";
+    this.namespace = params?.namespace ?? getEnv("PINECONE_NAMESPACE") ?? "";
    this.chunkSize =
      params?.chunkSize ??
-      Number.parseInt(process.env.PINECONE_CHUNK_SIZE ?? "100");
+      Number.parseInt(getEnv("PINECONE_CHUNK_SIZE") ?? "100");
+    this.textKey = params?.textKey ?? "text";
  }

  private async getDb(): Promise<Pinecone> {
    if (!this.db) {
+      const { Pinecone } = await import("@pinecone-database/pinecone");
      this.db = await new Pinecone();
    }

@@ -148,24 +155,23 @@ export class PineconeVectorStore implements VectorStore {
    };

    const idx = await this.index();
-    const results = await idx.query(options);
+    const results = await idx.namespace(this.namespace).query(options);

    const idList = results.matches.map((row) => row.id);
-    const records: FetchResponse<any> = await idx.fetch(idList);
+    const records: FetchResponse<any> = await idx
+      .namespace(this.namespace)
+      .fetch(idList);
    const rows = Object.values(records.records);

    const nodes = rows.map((row) => {
-      const metadata = this.metaWithoutText(row.metadata);
-      const text = this.textFromResultRow(row);
-      const node = metadataDictToNode(metadata, {
+      const node = metadataDictToNode(row.metadata, {
        fallback: {
          id: row.id,
-          text,
-          metadata,
+          text: this.textFromResultRow(row),
+          metadata: this.metaWithoutText(row.metadata),
          embedding: row.values,
        },
      });
-      node.setContent(text);
      return node;
    });

@@ -199,12 +205,12 @@ export class PineconeVectorStore implements VectorStore {
  }

  textFromResultRow(row: ScoredPineconeRecord<Metadata>): string {
-    return row.metadata?.text ?? "";
+    return row.metadata?.[this.textKey] ?? "";
  }

  metaWithoutText(meta: Metadata): any {
    return Object.keys(meta)
-      .filter((key) => key != "text")
+      .filter((key) => key != this.textKey)
      .reduce((acc: any, key: string) => {
        acc[key] = meta[key];
        return acc;
@@ -36,12 +36,11 @@ type QuerySearchResult = {
 export class QdrantVectorStore implements VectorStore {
  storesText: boolean = true;

-  db: QdrantClient;
-
-  collectionName: string;
  batchSize: number;
+  collectionName: string;

-  private _collectionInitialized: boolean = false;
+  private db: QdrantClient;
+  private collectionInitialized: boolean = false;

  /**
   * Creates a new QdrantVectorStore.
@@ -59,7 +58,7 @@ export class QdrantVectorStore implements VectorStore {
    batchSize,
  }: QdrantParams) {
    if (!client && !url) {
-      if (!url || !collectionName) {
+      if (!url) {
        throw new Error("QdrantVectorStore requires url and collectionName");
      }
    }
@@ -122,7 +121,7 @@ export class QdrantVectorStore implements VectorStore {
    if (!exists) {
      await this.createCollection(this.collectionName, vectorSize);
    }
-    this._collectionInitialized = true;
+    this.collectionInitialized = true;
  }

  /**
@@ -179,7 +178,7 @@ export class QdrantVectorStore implements VectorStore {
   * @returns List of node IDs
   */
  async add(embeddingResults: BaseNode[]): Promise<string[]> {
-    if (embeddingResults.length > 0 && !this._collectionInitialized) {
+    if (embeddingResults.length > 0 && !this.collectionInitialized) {
      await this.initializeCollection(
        embeddingResults[0].getEmbedding().length,
      );
@@ -82,6 +82,9 @@ export class SimpleVectorStore implements VectorStore {
      delete this.data.embeddingDict[textId];
      delete this.data.textIdToRefDocId[textId];
    }
+    if (this.persistPath) {
+      await this.persist(this.persistPath, this.fs);
+    }
    return Promise.resolve();
  }

@@ -6,5 +6,13 @@
    "moduleResolution": "node16",
    "target": "ESNext"
  },
-  "include": ["./**/*.ts"]
+  "include": ["./**/*.ts"],
+  "references": [
+    {
+      "path": "../../core/tsconfig.json"
+    },
+    {
+      "path": "../../env/tsconfig.json"
+    }
+  ]
 }
@@ -3,6 +3,7 @@
  "compilerOptions": {
    "rootDir": "./src",
    "outDir": "./dist/type",
+    "tsBuildInfoFile": "./dist/.tsbuildinfo",
    "emitDeclarationOnly": true,
    "module": "node16",
    "moduleResolution": "node16",
@@ -10,5 +11,10 @@
    "strict": true
  },
  "include": ["./src"],
-  "exclude": ["node_modules"]
+  "exclude": ["node_modules"],
+  "references": [
+    {
+      "path": "../env/tsconfig.json"
+    }
+  ]
 }
@@ -32,6 +32,7 @@ export async function createApp({
  eslint,
  frontend,
  openAiKey,
+  llamaCloudKey,
  model,
  communityProjectPath,
  llamapack,
@@ -77,6 +78,7 @@ export async function createApp({
    isOnline,
    eslint,
    openAiKey,
+    llamaCloudKey,
    model,
    communityProjectPath,
    llamapack,
@@ -26,6 +26,7 @@ const createEnvLocalFile = async (
  root: string,
  opts?: {
    openAiKey?: string;
+    llamaCloudKey?: string;
    vectorDb?: TemplateVectorDB;
    model?: string;
    framework?: TemplateFramework;
@@ -46,6 +47,10 @@ const createEnvLocalFile = async (
    content += `OPENAI_API_KEY=${opts?.openAiKey}\n`;
  }

+  if (opts?.llamaCloudKey) {
+    content += `LLAMA_CLOUD_API_KEY=${opts?.llamaCloudKey}\n`;
+  }
+
  switch (opts?.vectorDb) {
    case "mongo": {
      content += `# For generating a connection URI, see https://www.mongodb.com/docs/guides/atlas/connection-string\n`;
@@ -205,6 +210,7 @@ export const installTemplate = async (
    // Copy the environment file to the target directory.
    await createEnvLocalFile(props.root, {
      openAiKey: props.openAiKey,
+      llamaCloudKey: props.llamaCloudKey,
      vectorDb: props.vectorDb,
      model: props.model,
      framework: props.framework,
@@ -8,6 +8,7 @@ import { templatesDir } from "./dir";
 import { isPoetryAvailable, tryPoetryInstall } from "./poetry";
 import { Tool } from "./tools";
 import {
+  FileSourceConfig,
  InstallTemplateArgs,
  TemplateDataSource,
  TemplateVectorDB,
@@ -244,13 +245,16 @@ export const installPythonTemplate = async ({

    const dataSourceType = dataSource?.type;
    if (dataSourceType !== undefined && dataSourceType !== "none") {
-      const loaderPath =
-        dataSourceType === "folder"
-          ? path.join(compPath, "loaders", "python", "file")
-          : path.join(compPath, "loaders", "python", dataSourceType);
+      let loaderFolder: string;
+      if (dataSourceType === "file" || dataSourceType === "folder") {
+        const dataSourceConfig = dataSource?.config as FileSourceConfig;
+        loaderFolder = dataSourceConfig.useLlamaParse ? "llama_parse" : "file";
+      } else {
+        loaderFolder = dataSourceType;
+      }
      await copy("**", enginePath, {
        parents: true,
-        cwd: loaderPath,
+        cwd: path.join(compPath, "loaders", "python", loaderFolder),
      });
    }
  }
@@ -15,6 +15,7 @@ export type TemplateDataSourceType = "none" | "file" | "folder" | "web";
 // Config for both file and folder
 export type FileSourceConfig = {
  path?: string;
+  useLlamaParse?: boolean;
 };
 export type WebSourceConfig = {
  baseUrl?: string;
@@ -35,6 +36,7 @@ export interface InstallTemplateArgs {
  eslint: boolean;
  customApiPath?: string;
  openAiKey?: string;
+  llamaCloudKey?: string;
  forBackend?: string;
  model: string;
  communityProjectPath?: string;
@@ -154,6 +154,18 @@ const program = new Commander.Command(packageJson.name)
    `

  Specify the tools you want to use by providing a comma-separated list. For example, 'wikipedia.WikipediaToolSpec,google.GoogleSearchToolSpec'. Use 'none' to not using any tools.
+`,
+  )
+  .option(
+    "--llama-parse",
+    `
+    Enable LlamaParse.
+`,
+  )
+  .option(
+    "--llama-cloud-key <key>",
+    `
+  Provide a LlamaCloud API key.
 `,
  )
  .allowUnknownOption()
@@ -171,6 +183,9 @@ if (process.argv.includes("--tools")) {
    program.tools = getTools(program.tools.split(","));
  }
 }
+if (process.argv.includes("--no-llama-parse")) {
+  program.llamaParse = false;
+}

 const packageManager = !!program.useNpm
  ? "npm"
@@ -264,6 +279,7 @@ async function run(): Promise<void> {
    eslint: program.eslint,
    frontend: program.frontend,
    openAiKey: program.openAiKey,
+    llamaCloudKey: program.llamaCloudKey,
    model: program.model,
    communityProjectPath: program.communityProjectPath,
    llamapack: program.llamapack,
@@ -5,7 +5,11 @@ import path from "path";
 import { blue, green, red } from "picocolors";
 import prompts from "prompts";
 import { InstallAppArgs } from "./create-app";
-import { TemplateDataSourceType, TemplateFramework } from "./helpers";
+import {
+  FileSourceConfig,
+  TemplateDataSourceType,
+  TemplateFramework,
+} from "./helpers";
 import { COMMUNITY_OWNER, COMMUNITY_REPO } from "./helpers/constant";
 import { templatesDir } from "./helpers/dir";
 import { getAvailableLlamapackOptions } from "./helpers/llama-pack";
@@ -15,7 +19,7 @@ import { supportedTools, toolsRequireConfig } from "./helpers/tools";
 export type QuestionArgs = Omit<
  InstallAppArgs,
  "appPath" | "packageManager"
-> & { files?: string };
+> & { files?: string; llamaParse?: boolean };
 const supportedContextFileTypes = [
  ".pdf",
  ".doc",
@@ -63,6 +67,7 @@ const defaults: QuestionArgs = {
  eslint: true,
  frontend: false,
  openAiKey: "",
+  llamaCloudKey: "",
  model: "gpt-3.5-turbo",
  communityProjectPath: "",
  llamapack: "",
@@ -521,6 +526,64 @@ export const askQuestions = async (
    }
  }

+  if (
+    program.dataSource?.type === "file" ||
+    (program.dataSource?.type === "folder" && program.framework === "fastapi")
+  ) {
+    if (ciInfo.isCI) {
+      program.llamaCloudKey = getPrefOrDefault("llamaCloudKey");
+    } else {
+      const dataSourceConfig = program.dataSource.config as FileSourceConfig;
+      dataSourceConfig.useLlamaParse = program.llamaParse;
+
+      // Is pdf file selected as data source or is it a folder data source
+      const askingLlamaParse =
+        dataSourceConfig.useLlamaParse === undefined &&
+        (program.dataSource.type === "folder"
+          ? true
+          : dataSourceConfig.path &&
+            path.extname(dataSourceConfig.path) === ".pdf");
+
+      // Ask if user wants to use LlamaParse
+      if (askingLlamaParse) {
+        const { useLlamaParse } = await prompts(
+          {
+            type: "toggle",
+            name: "useLlamaParse",
+            message:
+              "Would you like to use LlamaParse (improved parser for RAG - requires API key)?",
+            initial: true,
+            active: "yes",
+            inactive: "no",
+          },
+          handlers,
+        );
+        dataSourceConfig.useLlamaParse = useLlamaParse;
+        program.dataSource.config = dataSourceConfig;
+      }
+
+      // Ask for LlamaCloud API key
+      if (
+        dataSourceConfig.useLlamaParse &&
+        program.llamaCloudKey === undefined
+      ) {
+        const { llamaCloudKey } = await prompts(
+          {
+            type: "text",
+            name: "llamaCloudKey",
+            message: "Please provide your LlamaIndex Cloud API key:",
+            validate: (value) =>
+              value
+                ? true
+                : "LlamaIndex Cloud API key is required. You can get it from: https://cloud.llamaindex.ai/api-key",
+          },
+          handlers,
+        );
+        program.llamaCloudKey = llamaCloudKey;
+      }
+    }
+  }
+
  if (program.dataSource?.type === "web" && program.framework === "fastapi") {
    let { baseUrl } = await prompts(
      {
@@ -1,6 +1,6 @@
 from llama_index.core.readers import SimpleDirectoryReader

-DATA_DIR = "data"  # directory to cache the generated index
+DATA_DIR = "data"  # directory containing the documents


 def get_documents():
@@ -0,0 +1,14 @@
+from llama_parse import LlamaParse
+from llama_index.core import SimpleDirectoryReader
+
+DATA_DIR = "data"  # directory containing the documents
+
+
+def get_documents():
+    parser = LlamaParse(
+        result_type="markdown",
+        verbose=True,
+    )
+
+    reader = SimpleDirectoryReader(DATA_DIR, file_extractor={".pdf": parser})
+    return reader.load_data()
@@ -1,5 +1,11 @@
 # @llamaindex/env

+## 0.0.5
+
+### Patch Changes
+
+- 5116ad8: fix: compatibility issue with Deno
+
 ## 0.0.4

 ### Patch Changes
@@ -0,0 +1,8 @@
+{
+  "name": "@llamaindex/env",
+  "version": "0.0.5",
+  "exports": {
+    ".": "./src/index.ts",
+    "./type": "./src/type.ts"
+  }
+}
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/env",
  "description": "environment wrapper",
-  "version": "0.0.4",
+  "version": "0.0.5",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -39,3 +39,4 @@ export function randomUUID(): string {
  return crypto.randomUUID();
 }
 export * from "./type.js";
+export { getEnv } from "./utils.js";
@@ -34,5 +34,6 @@ export const defaultFS: CompleteFileSystem = {
  stat: fs.stat,
 };

-export * from "./type.js";
+export type * from "./type.js";
+export { getEnv } from "./utils.js";
 export { EOL, ok, path, randomUUID };
@@ -58,9 +58,8 @@ export class InMemoryFileSystem implements CompleteFileSystem {
    }
  }

-  async mkdir(path: string) {
+  async mkdir(path: string): Promise<undefined> {
    this.files[path] = _.get(this.files, path, null);
-    return undefined;
  }

  async readdir(path: string): Promise<string[]> {
@@ -0,0 +1,12 @@
+export function getEnv(name: string): string | undefined {
+  if (typeof process === "undefined" || typeof process.env === "undefined") {
+    // @ts-expect-error
+    if (typeof Deno === "undefined") {
+      throw new Error("Current environment is not supported");
+    } else {
+      // @ts-expect-error
+      return Deno.env.get(name);
+    }
+  }
+  return process.env[name];
+}
@@ -3,6 +3,7 @@
  "compilerOptions": {
    "rootDir": "./src",
    "outDir": "./dist/type",
+    "tsBuildInfoFile": "./dist/.tsbuildinfo",
    "emitDeclarationOnly": true,
    "module": "node16",
    "moduleResolution": "node16",
@@ -36,6 +36,7 @@ module.exports = {
          "PINECONE_INDEX_NAME",
          "PINECONE_CHUNK_SIZE",
          "PINECONE_INDEX_NAME",
+          "PINECONE_NAMESPACE",

          "AZURE_OPENAI_API_KEY",
          "AZURE_OPENAI_API_INSTANCE_NAME",
@@ -53,7 +53,7 @@ importers:
        version: link:../../packages/env
      '@mdx-js/react':
        specifier: ^3.0.0
-        version: 3.0.0(@types/react@18.2.55)(react@18.2.0)
+        version: 3.0.0(@types/react@18.2.61)(react@18.2.0)
      clsx:
        specifier: ^2.1.0
        version: 2.1.0
@@ -65,7 +65,7 @@ importers:
        version: 2.3.1(react@18.2.0)
      raw-loader:
        specifier: ^4.0.2
-        version: 4.0.2(webpack@5.90.1)
+        version: 4.0.2(webpack@5.90.3)
      react:
        specifier: ^18.2.0
        version: 18.2.0
@@ -78,10 +78,10 @@ importers:
        version: 3.1.0(react-dom@18.2.0)(react@18.2.0)
      '@docusaurus/preset-classic':
        specifier: ^3.1.1
-        version: 3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
+        version: 3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
      '@docusaurus/theme-classic':
        specifier: ^3.1.1
-        version: 3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
+        version: 3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
      '@docusaurus/types':
        specifier: ^3.1.1
        version: 3.1.1(react-dom@18.2.0)(react@18.2.0)
@@ -160,8 +160,8 @@ importers:
  packages/core:
    dependencies:
      '@anthropic-ai/sdk':
-        specifier: ^0.13.0
-        version: 0.13.0
+        specifier: ^0.15.0
+        version: 0.15.0
      '@aws-crypto/sha256-js':
        specifier: ^5.2.0
        version: 5.2.0
@@ -169,8 +169,8 @@ importers:
        specifier: ^0.1.4
        version: 0.1.4
      '@llamaindex/cloud':
-        specifier: ^0.0.1
-        version: 0.0.1
+        specifier: 0.0.4
+        version: 0.0.4
      '@llamaindex/env':
        specifier: workspace:*
        version: link:../env
@@ -406,16 +406,16 @@ importers:
    dependencies:
      eslint-config-next:
        specifier: ^13.5.6
-        version: 13.5.6(eslint@8.56.0)(typescript@5.3.3)
+        version: 13.5.6(eslint@8.57.0)(typescript@5.3.3)
      eslint-config-prettier:
        specifier: ^8.10.0
-        version: 8.10.0(eslint@8.56.0)
+        version: 8.10.0(eslint@8.57.0)
      eslint-config-turbo:
        specifier: ^1.11.3
-        version: 1.11.3(eslint@8.56.0)
+        version: 1.11.3(eslint@8.57.0)
      eslint-plugin-react:
        specifier: 7.28.0
-        version: 7.28.0(eslint@8.56.0)
+        version: 7.28.0(eslint@8.57.0)
    devDependencies:
      next:
        specifier: ^13.5.6
@@ -574,8 +574,8 @@ packages:
      '@jridgewell/gen-mapping': 0.3.3
      '@jridgewell/trace-mapping': 0.3.22

-  /@anthropic-ai/sdk@0.13.0:
-    resolution: {integrity: sha512-wn315W4tCfCO+Z6FMa/67HgdgaWbjs4ie0Zbx5A6lq8RPEA3sEDknYzw0gCIrSlnSgRHxvUP/bT9KncFmOrmTg==}
+  /@anthropic-ai/sdk@0.15.0:
+    resolution: {integrity: sha512-QMNEFcwGGB64oEIL+U9b+mxSbat5TCdNxvQVV0qCNGQvg/nlnbOmq2/x/0mKhuKD0n5bioL75oCkTbQaAgyYtw==}
    dependencies:
      '@types/node': 18.19.14
      '@types/node-fetch': 2.6.9
@@ -2055,7 +2055,7 @@ packages:
    resolution: {integrity: sha512-SPiDHaWKQZpwR2siD0KQUwlStvIAnEyK6tAE2h2Wuoq8ue9skzhlyVQ1ddzOxX6khULnAALDiR/isSF3bnuciA==}
    dev: true

-  /@docsearch/react@3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.55)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0):
+  /@docsearch/react@3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.61)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0):
    resolution: {integrity: sha512-9Ahcrs5z2jq/DcAvYtvlqEBHImbm4YJI8M9y0x6Tqg598P40HTEkX7hsMcIuThI+hTFxRGZ9hll0Wygm2yEjng==}
    peerDependencies:
      '@types/react': '>= 16.8.0 < 19.0.0'
@@ -2075,7 +2075,7 @@ packages:
      '@algolia/autocomplete-core': 1.9.3(@algolia/client-search@4.22.1)(algoliasearch@4.22.1)(search-insights@2.13.0)
      '@algolia/autocomplete-preset-algolia': 1.9.3(@algolia/client-search@4.22.1)(algoliasearch@4.22.1)
      '@docsearch/css': 3.5.2
-      '@types/react': 18.2.55
+      '@types/react': 18.2.61
      algoliasearch: 4.22.1
      react: 18.2.0
      react-dom: 18.2.0(react@18.2.0)
@@ -2581,7 +2581,7 @@ packages:
      - webpack-cli
    dev: true

-  /@docusaurus/preset-classic@3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
+  /@docusaurus/preset-classic@3.1.1(@algolia/client-search@4.22.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
    resolution: {integrity: sha512-jG4ys/hWYf69iaN/xOmF+3kjs4Nnz1Ay3CjFLDtYa8KdxbmUhArA9HmP26ru5N0wbVWhY+6kmpYhTJpez5wTyg==}
    engines: {node: '>=18.0'}
    peerDependencies:
@@ -2597,9 +2597,9 @@ packages:
      '@docusaurus/plugin-google-gtag': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
      '@docusaurus/plugin-google-tag-manager': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
      '@docusaurus/plugin-sitemap': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
-      '@docusaurus/theme-classic': 3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
+      '@docusaurus/theme-classic': 3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
      '@docusaurus/theme-common': 3.1.1(@docusaurus/types@3.1.1)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
-      '@docusaurus/theme-search-algolia': 3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
+      '@docusaurus/theme-search-algolia': 3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3)
      '@docusaurus/types': 3.1.1(react-dom@18.2.0)(react@18.2.0)
      react: 18.2.0
      react-dom: 18.2.0(react@18.2.0)
@@ -2630,7 +2630,7 @@ packages:
    peerDependencies:
      react: '*'
    dependencies:
-      '@types/react': 18.2.55
+      '@types/react': 18.2.48
      prop-types: 15.8.1
      react: 18.2.0

@@ -2647,7 +2647,7 @@ packages:
      - supports-color
    dev: false

-  /@docusaurus/theme-classic@3.1.1(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3):
+  /@docusaurus/theme-classic@3.1.1(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3):
    resolution: {integrity: sha512-GiPE/jbWM8Qv1A14lk6s9fhc0LhPEQ00eIczRO4QL2nAQJZXkjPG6zaVx+1cZxPFWbAsqSjKe2lqkwF3fGkQ7Q==}
    engines: {node: '>=18.0'}
    peerDependencies:
@@ -2666,7 +2666,7 @@ packages:
      '@docusaurus/utils': 3.1.1(@docusaurus/types@3.1.1)
      '@docusaurus/utils-common': 3.1.1(@docusaurus/types@3.1.1)
      '@docusaurus/utils-validation': 3.1.1(@docusaurus/types@3.1.1)
-      '@mdx-js/react': 3.0.0(@types/react@18.2.55)(react@18.2.0)
+      '@mdx-js/react': 3.0.0(@types/react@18.2.61)(react@18.2.0)
      clsx: 2.1.0
      copy-text-to-clipboard: 3.2.0
      infima: 0.2.0-alpha.43
@@ -2745,14 +2745,14 @@ packages:
      - webpack-cli
    dev: true

-  /@docusaurus/theme-search-algolia@3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.55)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
+  /@docusaurus/theme-search-algolia@3.1.1(@algolia/client-search@4.22.1)(@docusaurus/types@3.1.1)(@types/react@18.2.61)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)(typescript@5.3.3):
    resolution: {integrity: sha512-tBH9VY5EpRctVdaAhT+b1BY8y5dyHVZGFXyCHgTrvcXQy5CV4q7serEX7U3SveNT9zksmchPyct6i1sFDC4Z5g==}
    engines: {node: '>=18.0'}
    peerDependencies:
      react: ^18.0.0
      react-dom: ^18.0.0
    dependencies:
-      '@docsearch/react': 3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.55)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)
+      '@docsearch/react': 3.5.2(@algolia/client-search@4.22.1)(@types/react@18.2.61)(react-dom@18.2.0)(react@18.2.0)(search-insights@2.13.0)
      '@docusaurus/core': 3.1.1(@docusaurus/types@3.1.1)(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
      '@docusaurus/logger': 3.1.1
      '@docusaurus/plugin-content-docs': 3.1.1(eslint@8.56.0)(react-dom@18.2.0)(react@18.2.0)(typescript@5.3.3)
@@ -3129,6 +3129,16 @@ packages:
      eslint: 8.56.0
      eslint-visitor-keys: 3.4.3

+  /@eslint-community/eslint-utils@4.4.0(eslint@8.57.0):
+    resolution: {integrity: sha512-1/sA4dwrzBAyeUoQ6oxahHKmrZvsnLCg4RfxW3ZFGGmQkSNQPFNLV9CUEFQP1x9EYXHTo5p6xdhZM1Ne9p/AfA==}
+    engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
+    peerDependencies:
+      eslint: ^6.0.0 || ^7.0.0 || >=8.0.0
+    dependencies:
+      eslint: 8.57.0
+      eslint-visitor-keys: 3.4.3
+    dev: false
+
  /@eslint-community/regexpp@4.10.0:
    resolution: {integrity: sha512-Cu96Sd2By9mCNTx2iyKOmq10v22jUVQv0lQnlGNy16oE9589yE+QADPbrMGCkA51cKZSg3Pu/aTJVTGfL/qjUA==}
    engines: {node: ^12.0.0 || ^14.0.0 || >=16.0.0}
@@ -3153,6 +3163,11 @@ packages:
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    engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}

+  /@eslint/js@8.57.0:
+    resolution: {integrity: sha512-Ys+3g2TaW7gADOJzPt83SJtCDhMjndcDMFVQ/Tj9iA1BfJzFKD9mAUXT3OenpuPHbI6P/myECxRJrofUsDx/5g==}
+    engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
+    dev: false
+
  /@fastify/busboy@2.1.0:
    resolution: {integrity: sha512-+KpH+QxZU7O4675t3mnkQKcZZg56u+K/Ct2K+N2AZYNVK8kyeo/bI18tI8aPm3tvNNRyTWfj6s5tnGNlcbQRsA==}
    engines: {node: '>=14'}
@@ -3213,7 +3228,7 @@ packages:
      '@jest/schemas': 29.6.3
      '@types/istanbul-lib-coverage': 2.0.6
      '@types/istanbul-reports': 3.0.4
-      '@types/node': 20.11.17
+      '@types/node': 20.11.20
      '@types/yargs': 17.0.32
      chalk: 4.1.2

@@ -3258,8 +3273,18 @@ packages:
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    resolution: {integrity: sha512-Hcv+nVC0kZnQ3tD9GVu5xSMR4VVYOteQIr/hwFPVEvPdlXqgGEuRjiheChHgdM+JyqdgNcmzZOX/tnl0JOiI7A==}

-  /@llamaindex/cloud@0.0.1:
-    resolution: {integrity: sha512-7FrLAbY459B4rcG4NaqANatDT5zKvZxIRyrY+nnTSXqu9ZMzkm1Co8IIRYx2/9feps/OLOhXsv7VKGGUr7scNQ==}
+  /@llamaindex/cloud@0.0.4:
+    resolution: {integrity: sha512-ufu8sASmttGQZBrDVt5XHF+Lf7ZFImMe/bCwqfoGiywJUchc88igxhP0xF5iUpthyQr2/0nAhH117owj5+GF3A==}
+    peerDependencies:
+      node-fetch: ^3.3.2
+    peerDependenciesMeta:
+      node-fetch:
+        optional: true
+    dependencies:
+      '@types/qs': 6.9.12
+      form-data: 4.0.0
+      js-base64: 3.7.7
+      qs: 6.11.2
    dev: false

  /@manypkg/find-root@1.1.0:
@@ -3311,14 +3336,14 @@ packages:
    transitivePeerDependencies:
      - supports-color

-  /@mdx-js/react@3.0.0(@types/react@18.2.55)(react@18.2.0):
+  /@mdx-js/react@3.0.0(@types/react@18.2.61)(react@18.2.0):
    resolution: {integrity: sha512-nDctevR9KyYFyV+m+/+S4cpzCWHqj+iHDHq3QrsWezcC+B17uZdIWgCguESUkwFhM3n/56KxWVE3V6EokrmONQ==}
    peerDependencies:
      '@types/react': '>=16'
      react: '>=16'
    dependencies:
      '@types/mdx': 2.0.10
-      '@types/react': 18.2.55
+      '@types/react': 18.2.61
      react: 18.2.0

  /@mistralai/mistralai@0.0.10:
@@ -4143,7 +4168,7 @@ packages:
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    dependencies:
-      '@types/node': 20.11.17
+      '@types/node': 20.11.20

  /@types/cross-spawn@6.0.0:
    resolution: {integrity: sha512-evp2ZGsFw9YKprDbg8ySgC9NA15g3YgiI8ANkGmKKvvi0P2aDGYLPxQIC5qfeKNUOe3TjABVGuah6omPRpIYhg==}
@@ -4180,7 +4205,7 @@ packages:
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    dependencies:
      '@types/node': 20.11.17
-      '@types/qs': 6.9.11
+      '@types/qs': 6.9.12
      '@types/range-parser': 1.2.7
      '@types/send': 0.17.4

@@ -4189,7 +4214,7 @@ packages:
    dependencies:
      '@types/body-parser': 1.19.5
      '@types/express-serve-static-core': 4.17.42
-      '@types/qs': 6.9.11
+      '@types/qs': 6.9.12
      '@types/serve-static': 1.15.5

  /@types/gtag.js@0.0.12:
@@ -4328,7 +4353,6 @@ packages:
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    dependencies:
      undici-types: 5.26.5
-    dev: false

  /@types/node@20.11.7:
    resolution: {integrity: sha512-GPmeN1C3XAyV5uybAf4cMLWT9fDWcmQhZVtMFu7OR32WjrqGG+Wnk2V1d0bmtUyE/Zy1QJ9BxyiTih9z8Oks8A==}
@@ -4370,8 +4394,8 @@ packages:
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-  /@types/qs@6.9.11:
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+  /@types/qs@6.9.12:
+    resolution: {integrity: sha512-bZcOkJ6uWrL0Qb2NAWKa7TBU+mJHPzhx9jjLL1KHF+XpzEcR7EXHvjbHlGtR/IsP1vyPrehuS6XqkmaePy//mg==}

  /@types/range-parser@1.2.7:
    resolution: {integrity: sha512-hKormJbkJqzQGhziax5PItDUTMAM9uE2XXQmM37dyd4hVM+5aVl7oVxMVUiVQn2oCQFN/LKCZdvSM0pFRqbSmQ==}
@@ -4380,7 +4404,7 @@ packages:
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    dependencies:
      '@types/history': 4.7.11
-      '@types/react': 18.2.55
+      '@types/react': 18.2.61
      '@types/react-router': 5.1.20
    dev: true

@@ -4404,7 +4428,7 @@ packages:
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    dependencies:
      '@types/history': 4.7.11
-      '@types/react': 18.2.55
+      '@types/react': 18.2.48
    dev: true

  /@types/react@18.2.48:
@@ -4414,8 +4438,8 @@ packages:
      '@types/scheduler': 0.16.4
      csstype: 3.1.2

-  /@types/react@18.2.55:
-    resolution: {integrity: sha512-Y2Tz5P4yz23brwm2d7jNon39qoAtMMmalOQv6+fEFt1mT+FcM3D841wDpoUvFXhaYenuROCy3FZYqdTjM7qVyA==}
+  /@types/react@18.2.61:
+    resolution: {integrity: sha512-NURTN0qNnJa7O/k4XUkEW2yfygA+NxS0V5h1+kp9jPwhzZy95q3ADoGMP0+JypMhrZBTTgjKAUlTctde1zzeQA==}
    dependencies:
      '@types/prop-types': 15.7.11
      '@types/scheduler': 0.16.8
@@ -4454,7 +4478,7 @@ packages:
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    dependencies:
      '@types/mime': 1.3.5
-      '@types/node': 20.11.17
+      '@types/node': 20.11.20

  /@types/serve-index@1.9.4:
    resolution: {integrity: sha512-qLpGZ/c2fhSs5gnYsQxtDEq3Oy8SXPClIXkW5ghvAvsNuVSA8k+gCONcUCS/UjLEYvYps+e8uBtfgXgvhwfNug==}
@@ -4517,7 +4541,7 @@ packages:
    dependencies:
      '@types/yargs-parser': 21.0.3

-  /@typescript-eslint/parser@6.19.1(eslint@8.56.0)(typescript@5.3.3):
+  /@typescript-eslint/parser@6.19.1(eslint@8.57.0)(typescript@5.3.3):
    resolution: {integrity: sha512-WEfX22ziAh6pRE9jnbkkLGp/4RhTpffr2ZK5bJ18M8mIfA8A+k97U9ZyaXCEJRlmMHh7R9MJZWXp/r73DzINVQ==}
    engines: {node: ^16.0.0 || >=18.0.0}
    peerDependencies:
@@ -4532,7 +4556,7 @@ packages:
      '@typescript-eslint/typescript-estree': 6.19.1(typescript@5.3.3)
      '@typescript-eslint/visitor-keys': 6.19.1
      debug: 4.3.4
-      eslint: 8.56.0
+      eslint: 8.57.0
      typescript: 5.3.3
    transitivePeerDependencies:
      - supports-color
@@ -5452,6 +5476,17 @@ packages:
      node-releases: 2.0.14
      update-browserslist-db: 1.0.13(browserslist@4.22.3)

+  /browserslist@4.23.0:
+    resolution: {integrity: sha512-QW8HiM1shhT2GuzkvklfjcKDiWFXHOeFCIA/huJPwHsslwcydgk7X+z2zXpEijP98UCY7HbubZt5J2Zgvf0CaQ==}
+    engines: {node: ^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7}
+    hasBin: true
+    dependencies:
+      caniuse-lite: 1.0.30001593
+      electron-to-chromium: 1.4.690
+      node-releases: 2.0.14
+      update-browserslist-db: 1.0.13(browserslist@4.23.0)
+    dev: false
+
  /bson@6.2.0:
    resolution: {integrity: sha512-ID1cI+7bazPDyL9wYy9GaQ8gEEohWvcUl/Yf0dIdutJxnmInEEyCsb4awy/OiBfall7zBA179Pahi3vCdFze3Q==}
    engines: {node: '>=16.20.1'}
@@ -5596,6 +5631,10 @@ packages:
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    resolution: {integrity: sha512-mtj5ur2FFPZcCEpXFy8ADXbDACuNFXg6mxVDqp7tqooX6l3zwm+d8EPoeOSIFRDvHs8qu7/SLFOGniULkcH2iA==}

+  /caniuse-lite@1.0.30001593:
+    resolution: {integrity: sha512-UWM1zlo3cZfkpBysd7AS+z+v007q9G1+fLTUU42rQnY6t2axoogPW/xol6T7juU5EUoOhML4WgBIdG+9yYqAjQ==}
+    dev: false
+
  /ccount@2.0.1:
    resolution: {integrity: sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==}

@@ -6922,6 +6961,10 @@ packages:
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    resolution: {integrity: sha512-EmFMarXeqJp9cUKu/QEciEApn0S/xRcpZWuAm32U7NgoZCimjsilKXHRO9saeEW55eHZagIDg6XTUOv32w9pjg==}

+  /electron-to-chromium@1.4.690:
+    resolution: {integrity: sha512-+2OAGjUx68xElQhydpcbqH50hE8Vs2K6TkAeLhICYfndb67CVH0UsZaijmRUE3rHlIxU1u0jxwhgVe6fK3YANA==}
+    dev: false
+
  /emoji-regex@10.3.0:
    resolution: {integrity: sha512-QpLs9D9v9kArv4lfDEgg1X/gN5XLnf/A6l9cs8SPZLRZR3ZkY9+kwIQTxm+fsSej5UMYGE8fdoaZVIBlqG0XTw==}
    dev: true
@@ -6968,6 +7011,14 @@ packages:
      graceful-fs: 4.2.11
      tapable: 2.2.1

+  /enhanced-resolve@5.15.1:
+    resolution: {integrity: sha512-3d3JRbwsCLJsYgvb6NuWEG44jjPSOMuS73L/6+7BZuoKm3W+qXnSoIYVHi8dG7Qcg4inAY4jbzkZ7MnskePeDg==}
+    engines: {node: '>=10.13.0'}
+    dependencies:
+      graceful-fs: 4.2.11
+      tapable: 2.2.1
+    dev: false
+
  /enquirer@2.4.1:
    resolution: {integrity: sha512-rRqJg/6gd538VHvR3PSrdRBb/1Vy2YfzHqzvbhGIQpDRKIa4FgV/54b5Q1xYSxOOwKvjXweS26E0Q+nAMwp2pQ==}
    engines: {node: '>=8.6'}
@@ -7206,7 +7257,7 @@ packages:
      source-map: 0.6.1
    dev: true

-  /eslint-config-next@13.5.6(eslint@8.56.0)(typescript@5.3.3):
+  /eslint-config-next@13.5.6(eslint@8.57.0)(typescript@5.3.3):
    resolution: {integrity: sha512-o8pQsUHTo9aHqJ2YiZDym5gQAMRf7O2HndHo/JZeY7TDD+W4hk6Ma8Vw54RHiBeb7OWWO5dPirQB+Is/aVQ7Kg==}
    peerDependencies:
      eslint: ^7.23.0 || ^8.0.0
@@ -7217,36 +7268,36 @@ packages:
    dependencies:
      '@next/eslint-plugin-next': 13.5.6
      '@rushstack/eslint-patch': 1.7.2
-      '@typescript-eslint/parser': 6.19.1(eslint@8.56.0)(typescript@5.3.3)
-      eslint: 8.56.0
+      '@typescript-eslint/parser': 6.19.1(eslint@8.57.0)(typescript@5.3.3)
+      eslint: 8.57.0
      eslint-import-resolver-node: 0.3.9
-      eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.56.0)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
-      eslint-plugin-jsx-a11y: 6.8.0(eslint@8.56.0)
-      eslint-plugin-react: 7.33.2(eslint@8.56.0)
-      eslint-plugin-react-hooks: 4.6.0(eslint@8.56.0)
+      eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.57.0)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0)
+      eslint-plugin-jsx-a11y: 6.8.0(eslint@8.57.0)
+      eslint-plugin-react: 7.33.2(eslint@8.57.0)
+      eslint-plugin-react-hooks: 4.6.0(eslint@8.57.0)
      typescript: 5.3.3
    transitivePeerDependencies:
      - eslint-import-resolver-webpack
      - supports-color
    dev: false

-  /eslint-config-prettier@8.10.0(eslint@8.56.0):
+  /eslint-config-prettier@8.10.0(eslint@8.57.0):
    resolution: {integrity: sha512-SM8AMJdeQqRYT9O9zguiruQZaN7+z+E4eAP9oiLNGKMtomwaB1E9dcgUD6ZAn/eQAb52USbvezbiljfZUhbJcg==}
    hasBin: true
    peerDependencies:
      eslint: '>=7.0.0'
    dependencies:
-      eslint: 8.56.0
+      eslint: 8.57.0
    dev: false

-  /eslint-config-turbo@1.11.3(eslint@8.56.0):
+  /eslint-config-turbo@1.11.3(eslint@8.57.0):
    resolution: {integrity: sha512-v7CHpAHodBKlj+r+R3B2DJlZbCjpZLnK7gO/vCRk/Lc+tlD/f04wM6rmHlerevOlchtmwARilRLBnmzNLffTyQ==}
    peerDependencies:
      eslint: '>6.6.0'
    dependencies:
-      eslint: 8.56.0
-      eslint-plugin-turbo: 1.11.3(eslint@8.56.0)
+      eslint: 8.57.0
+      eslint-plugin-turbo: 1.11.3(eslint@8.57.0)
    dev: false

  /eslint-import-resolver-node@0.3.9:
@@ -7259,7 +7310,7 @@ packages:
      - supports-color
    dev: false

-  /eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.56.0):
+  /eslint-import-resolver-typescript@3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.57.0):
    resolution: {integrity: sha512-xgdptdoi5W3niYeuQxKmzVDTATvLYqhpwmykwsh7f6HIOStGWEIL9iqZgQDF9u9OEzrRwR8no5q2VT+bjAujTg==}
    engines: {node: ^14.18.0 || >=16.0.0}
    peerDependencies:
@@ -7268,9 +7319,9 @@ packages:
    dependencies:
      debug: 4.3.4
      enhanced-resolve: 5.15.0
-      eslint: 8.56.0
-      eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
-      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
+      eslint: 8.57.0
+      eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0)
+      eslint-plugin-import: 2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0)
      fast-glob: 3.3.2
      get-tsconfig: 4.7.2
      is-core-module: 2.13.1
@@ -7282,7 +7333,7 @@ packages:
      - supports-color
    dev: false

-  /eslint-module-utils@2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0):
+  /eslint-module-utils@2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0):
    resolution: {integrity: sha512-aWajIYfsqCKRDgUfjEXNN/JlrzauMuSEy5sbd7WXbtW3EH6A6MpwEh42c7qD+MqQo9QMJ6fWLAeIJynx0g6OAw==}
    engines: {node: '>=4'}
    peerDependencies:
@@ -7303,16 +7354,16 @@ packages:
      eslint-import-resolver-webpack:
        optional: true
    dependencies:
-      '@typescript-eslint/parser': 6.19.1(eslint@8.56.0)(typescript@5.3.3)
+      '@typescript-eslint/parser': 6.19.1(eslint@8.57.0)(typescript@5.3.3)
      debug: 3.2.7
-      eslint: 8.56.0
+      eslint: 8.57.0
      eslint-import-resolver-node: 0.3.9
-      eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.56.0)
+      eslint-import-resolver-typescript: 3.6.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-plugin-import@2.29.1)(eslint@8.57.0)
    transitivePeerDependencies:
      - supports-color
    dev: false

-  /eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0):
+  /eslint-plugin-import@2.29.1(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0):
    resolution: {integrity: sha512-BbPC0cuExzhiMo4Ff1BTVwHpjjv28C5R+btTOGaCRC7UEz801up0JadwkeSk5Ued6TG34uaczuVuH6qyy5YUxw==}
    engines: {node: '>=4'}
    peerDependencies:
@@ -7322,16 +7373,16 @@ packages:
      '@typescript-eslint/parser':
        optional: true
    dependencies:
-      '@typescript-eslint/parser': 6.19.1(eslint@8.56.0)(typescript@5.3.3)
+      '@typescript-eslint/parser': 6.19.1(eslint@8.57.0)(typescript@5.3.3)
      array-includes: 3.1.7
      array.prototype.findlastindex: 1.2.3
      array.prototype.flat: 1.3.2
      array.prototype.flatmap: 1.3.2
      debug: 3.2.7
      doctrine: 2.1.0
-      eslint: 8.56.0
+      eslint: 8.57.0
      eslint-import-resolver-node: 0.3.9
-      eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.56.0)
+      eslint-module-utils: 2.8.0(@typescript-eslint/parser@6.19.1)(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.6.1)(eslint@8.57.0)
      hasown: 2.0.0
      is-core-module: 2.13.1
      is-glob: 4.0.3
@@ -7347,7 +7398,7 @@ packages:
      - supports-color
    dev: false

-  /eslint-plugin-jsx-a11y@6.8.0(eslint@8.56.0):
+  /eslint-plugin-jsx-a11y@6.8.0(eslint@8.57.0):
    resolution: {integrity: sha512-Hdh937BS3KdwwbBaKd5+PLCOmYY6U4f2h9Z2ktwtNKvIdIEu137rjYbcb9ApSbVJfWxANNuiKTD/9tOKjK9qOA==}
    engines: {node: '>=4.0'}
    peerDependencies:
@@ -7363,7 +7414,7 @@ packages:
      damerau-levenshtein: 1.0.8
      emoji-regex: 9.2.2
      es-iterator-helpers: 1.0.15
-      eslint: 8.56.0
+      eslint: 8.57.0
      hasown: 2.0.0
      jsx-ast-utils: 3.3.5
      language-tags: 1.0.9
@@ -7372,16 +7423,16 @@ packages:
      object.fromentries: 2.0.7
    dev: false

-  /eslint-plugin-react-hooks@4.6.0(eslint@8.56.0):
+  /eslint-plugin-react-hooks@4.6.0(eslint@8.57.0):
    resolution: {integrity: sha512-oFc7Itz9Qxh2x4gNHStv3BqJq54ExXmfC+a1NjAta66IAN87Wu0R/QArgIS9qKzX3dXKPI9H5crl9QchNMY9+g==}
    engines: {node: '>=10'}
    peerDependencies:
      eslint: ^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0 || ^7.0.0 || ^8.0.0-0
    dependencies:
-      eslint: 8.56.0
+      eslint: 8.57.0
    dev: false

-  /eslint-plugin-react@7.28.0(eslint@8.56.0):
+  /eslint-plugin-react@7.28.0(eslint@8.57.0):
    resolution: {integrity: sha512-IOlFIRHzWfEQQKcAD4iyYDndHwTQiCMcJVJjxempf203jnNLUnW34AXLrV33+nEXoifJE2ZEGmcjKPL8957eSw==}
    engines: {node: '>=4'}
    peerDependencies:
@@ -7390,7 +7441,7 @@ packages:
      array-includes: 3.1.6
      array.prototype.flatmap: 1.3.1
      doctrine: 2.1.0
-      eslint: 8.56.0
+      eslint: 8.57.0
      estraverse: 5.3.0
      jsx-ast-utils: 3.3.3
      minimatch: 3.1.2
@@ -7404,7 +7455,7 @@ packages:
      string.prototype.matchall: 4.0.8
    dev: false

-  /eslint-plugin-react@7.33.2(eslint@8.56.0):
+  /eslint-plugin-react@7.33.2(eslint@8.57.0):
    resolution: {integrity: sha512-73QQMKALArI8/7xGLNI/3LylrEYrlKZSb5C9+q3OtOewTnMQi5cT+aE9E41sLCmli3I9PGGmD1yiZydyo4FEPw==}
    engines: {node: '>=4'}
    peerDependencies:
@@ -7415,7 +7466,7 @@ packages:
      array.prototype.tosorted: 1.1.2
      doctrine: 2.1.0
      es-iterator-helpers: 1.0.15
-      eslint: 8.56.0
+      eslint: 8.57.0
      estraverse: 5.3.0
      jsx-ast-utils: 3.3.5
      minimatch: 3.1.2
@@ -7429,13 +7480,13 @@ packages:
      string.prototype.matchall: 4.0.10
    dev: false

-  /eslint-plugin-turbo@1.11.3(eslint@8.56.0):
+  /eslint-plugin-turbo@1.11.3(eslint@8.57.0):
    resolution: {integrity: sha512-R5ftTTWQzEYaKzF5g6m/MInCU8pIN+2TLL+S50AYBr1enwUovdZmnZ1HDwFMaxIjJ8x5ah+jvAzql5IJE9VWaA==}
    peerDependencies:
      eslint: '>6.6.0'
    dependencies:
      dotenv: 16.0.3
-      eslint: 8.56.0
+      eslint: 8.57.0
    dev: false

  /eslint-scope@5.1.1:
@@ -7507,6 +7558,53 @@ packages:
    transitivePeerDependencies:
      - supports-color

+  /eslint@8.57.0:
+    resolution: {integrity: sha512-dZ6+mexnaTIbSBZWgou51U6OmzIhYM2VcNdtiTtI7qPNZm35Akpr0f6vtw3w1Kmn5PYo+tZVfh13WrhpS6oLqQ==}
+    engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
+    hasBin: true
+    dependencies:
+      '@eslint-community/eslint-utils': 4.4.0(eslint@8.57.0)
+      '@eslint-community/regexpp': 4.10.0
+      '@eslint/eslintrc': 2.1.4
+      '@eslint/js': 8.57.0
+      '@humanwhocodes/config-array': 0.11.14
+      '@humanwhocodes/module-importer': 1.0.1
+      '@nodelib/fs.walk': 1.2.8
+      '@ungap/structured-clone': 1.2.0
+      ajv: 6.12.6
+      chalk: 4.1.2
+      cross-spawn: 7.0.3
+      debug: 4.3.4
+      doctrine: 3.0.0
+      escape-string-regexp: 4.0.0
+      eslint-scope: 7.2.2
+      eslint-visitor-keys: 3.4.3
+      espree: 9.6.1
+      esquery: 1.5.0
+      esutils: 2.0.3
+      fast-deep-equal: 3.1.3
+      file-entry-cache: 6.0.1
+      find-up: 5.0.0
+      glob-parent: 6.0.2
+      globals: 13.24.0
+      graphemer: 1.4.0
+      ignore: 5.3.1
+      imurmurhash: 0.1.4
+      is-glob: 4.0.3
+      is-path-inside: 3.0.3
+      js-yaml: 4.1.0
+      json-stable-stringify-without-jsonify: 1.0.1
+      levn: 0.4.1
+      lodash.merge: 4.6.2
+      minimatch: 3.1.2
+      natural-compare: 1.4.0
+      optionator: 0.9.3
+      strip-ansi: 6.0.1
+      text-table: 0.2.0
+    transitivePeerDependencies:
+      - supports-color
+    dev: false
+
  /espree@9.6.1:
    resolution: {integrity: sha512-oruZaFkjorTpF32kDSI5/75ViwGeZginGGy2NoOSg3Q9bnwlnmDm4HLnkl0RE3n+njDXR037aY1+x58Z/zFdwQ==}
    engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
@@ -9395,6 +9493,10 @@ packages:
    resolution: {integrity: sha512-NnRs6dsyqUXejqk/yv2aiXlAvOs56sLkX6nUdeaNezI5LFFLlsZjOThmwnrcwh5ZZRwZlCMnVAY3CvhIhoVEKQ==}
    dev: false

+  /js-base64@3.7.7:
+    resolution: {integrity: sha512-7rCnleh0z2CkXhH67J8K1Ytz0b2Y+yxTPL+/KOJoa20hfnVQ/3/T6W/KflYI4bRHRagNeXeU2bkNGI3v1oS/lw==}
+    dev: false
+
  /js-tiktoken@1.0.10:
    resolution: {integrity: sha512-ZoSxbGjvGyMT13x6ACo9ebhDha/0FHdKA+OsQcMOWcm1Zs7r90Rhk5lhERLzji+3rA7EKpXCgwXcM5fF3DMpdA==}
    dependencies:
@@ -12310,7 +12412,7 @@ packages:
      '@protobufjs/pool': 1.1.0
      '@protobufjs/utf8': 1.1.0
      '@types/long': 4.0.2
-      '@types/node': 20.11.17
+      '@types/node': 20.11.20
      long: 4.0.0
    dev: false

@@ -12446,7 +12548,7 @@ packages:
      iconv-lite: 0.4.24
      unpipe: 1.0.0

-  /raw-loader@4.0.2(webpack@5.90.1):
+  /raw-loader@4.0.2(webpack@5.90.3):
    resolution: {integrity: sha512-ZnScIV3ag9A4wPX/ZayxL/jZH+euYb6FcUinPcgiQW0+UBtEv0O6Q3lGd3cqJ+GHH+rksEv3Pj99oxJ3u3VIKA==}
    engines: {node: '>= 10.13.0'}
    peerDependencies:
@@ -12454,7 +12556,7 @@ packages:
    dependencies:
      loader-utils: 2.0.4
      schema-utils: 3.3.0
-      webpack: 5.90.1
+      webpack: 5.90.3
    dev: false

  /rc@1.2.8:
@@ -14096,7 +14198,7 @@ packages:
      terser: 5.27.0
      webpack: 5.90.0

-  /terser-webpack-plugin@5.3.10(webpack@5.90.1):
+  /terser-webpack-plugin@5.3.10(webpack@5.90.3):
    resolution: {integrity: sha512-BKFPWlPDndPs+NGGCr1U59t0XScL5317Y0UReNrHaw9/FwhPENlq6bfgs+4yPfyP51vqC1bQ4rp1EfXW5ZSH9w==}
    engines: {node: '>= 10.13.0'}
    peerDependencies:
@@ -14117,7 +14219,7 @@ packages:
      schema-utils: 3.3.0
      serialize-javascript: 6.0.2
      terser: 5.27.0
-      webpack: 5.90.1
+      webpack: 5.90.3
    dev: false

  /terser@5.27.0:
@@ -14724,6 +14826,17 @@ packages:
      escalade: 3.1.1
      picocolors: 1.0.0

+  /update-browserslist-db@1.0.13(browserslist@4.23.0):
+    resolution: {integrity: sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==}
+    hasBin: true
+    peerDependencies:
+      browserslist: '>= 4.21.0'
+    dependencies:
+      browserslist: 4.23.0
+      escalade: 3.1.1
+      picocolors: 1.0.0
+    dev: false
+
  /update-check@1.5.4:
    resolution: {integrity: sha512-5YHsflzHP4t1G+8WGPlvKbJEbAJGCgw+Em+dGR1KmBUbr1J36SJBqlHLjR7oob7sco5hWHGQVcr9B2poIVDDTQ==}
    dependencies:
@@ -15148,8 +15261,8 @@ packages:
      - esbuild
      - uglify-js

-  /webpack@5.90.1:
-    resolution: {integrity: sha512-SstPdlAC5IvgFnhiRok8hqJo/+ArAbNv7rhU4fnWGHNVfN59HSQFaxZDSAL3IFG2YmqxuRs+IU33milSxbPlog==}
+  /webpack@5.90.3:
+    resolution: {integrity: sha512-h6uDYlWCctQRuXBs1oYpVe6sFcWedl0dpcVaTf/YF67J9bKvwJajFulMVSYKHrksMB3I/pIagRzDxwxkebuzKA==}
    engines: {node: '>=10.13.0'}
    hasBin: true
    peerDependencies:
@@ -15165,9 +15278,9 @@ packages:
      '@webassemblyjs/wasm-parser': 1.11.6
      acorn: 8.11.3
      acorn-import-assertions: 1.9.0(acorn@8.11.3)
-      browserslist: 4.22.3
+      browserslist: 4.23.0
      chrome-trace-event: 1.0.3
-      enhanced-resolve: 5.15.0
+      enhanced-resolve: 5.15.1
      es-module-lexer: 1.4.1
      eslint-scope: 5.1.1
      events: 3.3.0
@@ -15179,7 +15292,7 @@ packages:
      neo-async: 2.6.2
      schema-utils: 3.3.0
      tapable: 2.2.1
-      terser-webpack-plugin: 5.3.10(webpack@5.90.1)
+      terser-webpack-plugin: 5.3.10(webpack@5.90.3)
      watchpack: 2.4.0
      webpack-sources: 3.2.3
    transitivePeerDependencies:
@@ -11,7 +11,13 @@
    "outDir": "./lib",
    "tsBuildInfoFile": "./lib/.tsbuildinfo",
    "incremental": true,
-    "composite": true
+    "composite": true,
+    "paths": {
+      "llamaindex": ["./packages/core/src/index.ts"],
+      "llamaindex/*": ["./packages/core/src/*.ts"],
+      "@llamaindex/env": ["./packages/env/src/index.ts"],
+      "@llamaindex/env/*": ["./packages/env/src/*.ts"]
+    }
  },
  "files": [],
  "references": [
Author	SHA1	Message	Date
Marcus Schiesser	2048698f77	docs: add interactive chat for anthropic	2024-03-05 11:15:50 +07:00
Emanuel Ferreira	9942979aa7	feat: Claude 3 (#604 )	2024-03-04 15:02:18 -08:00
Alex Yang	3c2655a1f9	fix: .tsbuildinfo	2024-03-04 16:05:45 -06:00
Marcus Schiesser	552a61a66f	Add quantized parameter to HuggingFaceEmbedding (#601 )	2024-03-04 12:10:40 +07:00
Alex Yang	d13143e322	RELEASING: Releasing 3 package(s) Releases: llamaindex@0.1.20 @llamaindex/env@0.0.5 docs@0.0.4 [skip ci]	2024-03-02 18:42:24 -06:00
Alex Yang	5116ad8d08	fix: compatibility issue with Deno (#598 )	2024-03-02 18:40:01 -06:00
Emanuel Ferreira	64683a55f3	fix: prefix messages always true (#596 )	2024-03-01 21:45:02 -03:00
Emanuel Ferreira	698cd9c631	fix: step wise agent + examples (#594 )	2024-03-01 21:28:02 -03:00
Alex Yang	c744a99102	chore: bump `@llamaindex/cloud` (#595 )	2024-03-01 17:22:50 -06:00
Huu Le (Lee)	2d2935085e	feat: Add use LlamaParse option to create-llama (#591 )	2024-03-01 16:54:06 +07:00
Marcus Schiesser	1b31e2c8cd	chore: update @llamaindex/cloud to 0.0.2	2024-03-01 15:59:10 +07:00
Thuc Pham	7257751993	fix: empty store bugs (#592 ) Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>	2024-03-01 15:04:10 +07:00
Marcus Schiesser	de6bfdb1b1	RELEASING: Releasing 1 package(s) Releases: llamaindex@0.1.19 [skip ci]	2024-02-29 15:35:13 +07:00
Marcus Schiesser	9e49f4411b	fix: copy README and license	2024-02-29 15:34:27 +07:00
Thuc Pham	026d068ddf	feat: enhance pinecone usage (#586 )	2024-02-29 15:34:08 +07:00
Marcus Schiesser	7055d6fc3c	docs: add OpenAIEmbedding to examples	2024-02-29 11:11:43 +07:00
Alex Yang	e9c2366bf1	fix: allow passing model metadata (#588 )	2024-02-29 10:41:06 +07:00
Alex Yang	6278152e49	fix: lazy import pg (#584 )	2024-02-27 19:16:54 -06:00
Emanuel Ferreira	76010c0cea	chore: remove duplicated example and minor example update (#582 )	2024-02-27 09:02:37 -03:00
Emanuel Ferreira	889b84cfb9	docs: remove query engine from correctness evaluator (#581 )	2024-02-27 08:15:41 -03:00
Marcus Schiesser	a26681c416	RELEASING: Releasing 1 package(s) Releases: llamaindex@0.1.18 [skip ci]	2024-02-27 13:45:28 +07:00
Thuc Pham	90027a7b44	fix: enable split long sentence by default (#568 ) Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>	2024-02-27 13:44:04 +07:00
Emanuel Ferreira	aab56faf88	refactor: qdrant minor updates (#580 )	2024-02-26 22:13:45 -03:00
Emanuel Ferreira	c57bd11c45	feat: update and refactor title extractor (#579 )	2024-02-26 21:49:07 -03:00