Release 0.9.6 (#1698)

Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>

.eslintrc.cjs

@@ -1,84 +0,0 @@
-const { join } = require("node:path");
-
-module.exports = {
-  root: true,
-  extends: [
-    "turbo",
-    "prettier",
-    "plugin:@typescript-eslint/recommended-type-checked-only",
-  ],
-  parserOptions: {
-    project: join(__dirname, "tsconfig.eslint.json"),
-    __tsconfigRootDir: __dirname,
-  },
-  settings: {
-    react: {
-      version: "999.999.999",
-    },
-  },
-  rules: {
-    "max-params": ["error", 4],
-    "prefer-const": "error",
-    "@typescript-eslint/no-floating-promises": [
-      "error",
-      {
-        ignoreIIFE: true,
-      },
-    ],
-    "no-debugger": "error",
-    "@typescript-eslint/await-thenable": "off",
-    "@typescript-eslint/ban-ts-comment": "off",
-    "@typescript-eslint/ban-types": "off",
-    "no-array-constructor": "off",
-    "@typescript-eslint/no-array-constructor": "off",
-    "@typescript-eslint/no-base-to-string": [
-      "error",
-      {
-        ignoredTypeNames: ["Error", "RegExp", "URL", "URLSearchParams"],
-      },
-    ],
-    "@typescript-eslint/no-duplicate-enum-values": "off",
-    "@typescript-eslint/no-duplicate-type-constituents": "off",
-    "@typescript-eslint/no-explicit-any": "off",
-    "@typescript-eslint/no-extra-non-null-assertion": "off",
-    "@typescript-eslint/no-for-in-array": "off",
-    "no-implied-eval": "off",
-    "@typescript-eslint/no-implied-eval": "off",
-    "no-loss-of-precision": "off",
-    "@typescript-eslint/no-loss-of-precision": "off",
-    "@typescript-eslint/no-misused-new": "off",
-    "@typescript-eslint/no-misused-promises": "off",
-    "@typescript-eslint/no-namespace": "off",
-    "@typescript-eslint/no-non-null-asserted-optional-chain": "off",
-    "@typescript-eslint/no-redundant-type-constituents": "off",
-    "@typescript-eslint/no-this-alias": "off",
-    "@typescript-eslint/no-unnecessary-type-assertion": "off",
-    "@typescript-eslint/no-unnecessary-type-constraint": "off",
-    "@typescript-eslint/no-unsafe-argument": "off",
-    "@typescript-eslint/no-unsafe-assignment": "off",
-    "@typescript-eslint/no-unsafe-call": "off",
-    "@typescript-eslint/no-unsafe-declaration-merging": "off",
-    "@typescript-eslint/no-unsafe-enum-comparison": "off",
-    "@typescript-eslint/no-unsafe-member-access": "off",
-    "@typescript-eslint/no-unsafe-return": "off",
-    "no-unused-vars": "off",
-    "@typescript-eslint/no-unused-vars": "off",
-    "@typescript-eslint/no-var-requires": "off",
-    "@typescript-eslint/prefer-as-const": "off",
-    "require-await": "off",
-    "@typescript-eslint/require-await": "off",
-    "@typescript-eslint/restrict-plus-operands": "off",
-    "@typescript-eslint/restrict-template-expressions": "off",
-    "@typescript-eslint/triple-slash-reference": "off",
-    "@typescript-eslint/unbound-method": "off",
-  },
-  overrides: [
-    {
-      files: ["examples/**/*.ts"],
-      rules: {
-        "turbo/no-undeclared-env-vars": "off",
-      },
-    },
-  ],
-  ignorePatterns: ["dist/", "lib/", "deps/"],
-};

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,46 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ""
+labels: bug
+assignees: ""
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Code to reproduce the behavior:
+
+```ts
+// paste the code here
+```
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+**Desktop (please complete the following information):**
+
+- OS: [e.g. macOS, Linux]
+- JS Runtime / Framework / Bundler (select all applicable)
+- [ ] Node.js
+- [ ] Deno
+- [ ] Bun
+- [ ] Next.js
+- [ ] ESBuild
+- [ ] Rollup
+- [ ] Webpack
+- [ ] Turbopack
+- [ ] Vite
+- [ ] Waku
+- [ ] Edge Runtime
+- [ ] AWS Lambda
+- [ ] Cloudflare Worker
+- [ ] Others (please elaborate on this)
+- Version [e.g. 22]
+
+**Additional context**
+Add any other context about the problem here.

.github/workflows/preview.yml

@@ -25,4 +25,4 @@ jobs:
         run: pnpm run build
 
       - name: Pre Release
-        run: pnpx pkg-pr-new publish ./packages/* ./packages/providers/*
+        run: pnpx pkg-pr-new publish --pnpm ./packages/* ./packages/providers/* ./packages/providers/storage/*

.github/workflows/test.yml

@@ -23,7 +23,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        node-version: [18.x, 20.x, 22.x]
+        node-version: [18.x, 20.x, 22.x, 23.x]
     name: E2E on Node.js ${{ matrix.node-version }}
     runs-on: ubuntu-latest
     steps:
@@ -53,7 +53,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        node-version: [18.x, 20.x, 22.x]
+        node-version: [18.x, 20.x, 22.x, 23.x]
     name: Test on Node.js ${{ matrix.node-version }}
     runs-on: ubuntu-latest
     steps:
@@ -83,9 +83,6 @@ jobs:
         run: pnpm install
       - name: Build
         run: pnpm run build
-      - name: Use Build For Examples
-        run: pnpm link ../packages/llamaindex/
-        working-directory: ./examples
       - name: Run Type Check
         run: pnpm run type-check
       - name: Run Circular Dependency Check
@@ -101,6 +98,7 @@ jobs:
           - nextjs-node-runtime
           - waku-query-engine
           - llama-parse-browser
+          - vite-import-llamaindex
     runs-on: ubuntu-latest
     name: Build LlamaIndex Example (${{ matrix.packages }})
     steps:
@@ -117,7 +115,31 @@ jobs:
         run: pnpm run build
       - name: Build ${{ matrix.packages }}
         run: pnpm run build
-        working-directory: packages/llamaindex/e2e/examples/${{ matrix.packages }}
+        working-directory: e2e/examples/${{ matrix.packages }}
+
+  size-limit:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'pull_request'
+    name: Size Limit
+    steps:
+      - uses: actions/checkout@v4
+      - uses: pnpm/action-setup@v4
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: ".nvmrc"
+          cache: "pnpm"
+      - name: Install dependencies
+        run: pnpm install
+      - name: Build llamaindex
+        run: pnpm run build
+      - uses: andresz1/size-limit-action@94bc357df29c36c8f8d50ea497c3e225c3c95d1d
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          directory: e2e/examples/vite-import-llamaindex
+          skip_step: "install"
+          build_script: build
+          package_manager: pnpm
 
   typecheck-examples:
     runs-on: ubuntu-latest
@@ -148,7 +170,7 @@ jobs:
           done
       - name: Pack provider packages
         run: |
-          for dir in packages/providers/*; do
+          for dir in packages/providers/* packages/providers/storage/*; do
             if [ -d "$dir" ] && [ -f "$dir/package.json" ]; then
               echo "Packing $dir"
               pnpm pack --pack-destination ${{ runner.temp }} -C $dir

.husky/pre-commit

@@ -1,3 +1 @@
-pnpm format
-pnpm lint
-npx lint-staged
+pnpm run lint-staged

.prettierignore

@@ -5,3 +5,5 @@ lib/
 dist/
 .docusaurus/
 .source/
+# prttier doesn't support mdx3 we are using
+*.mdx

.vscode/ltex.dictionary.en-US.txt

@@ -0,0 +1 @@
+LlamaIndexTS

.vscode/settings.json

@@ -14,5 +14,6 @@
   "[json]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
-  "prettier.prettierPath": "./node_modules/prettier"
+  "prettier.prettierPath": "./node_modules/prettier",
+  "prettier.configPath": "prettier.config.mjs"
 }

CONTRIBUTING.md

@@ -2,86 +2,65 @@
 
 ## Structure
 
-This is a monorepo built with Turborepo
+LlamaIndex.TS uses pnpm monorepo.
 
-Right now, for first-time contributors, these three packages are of the highest importance:
+We recommend you to understand the basics of Node.js, TypeScript, pnpm, and of course, LLM before contributing.
 
-- `packages/llamaindex` which is the main NPM library `llamaindex`
-- `examples` is where the demo code lives
-- `apps/docs` is where the code for the documentation of https://ts.llamaindex.ai/ is located
+There are some important folders in the repository:
 
-### Turborepo docs
-
-You can checkout how Turborepo works using the default [README-turborepo.md](/README-turborepo.md)
+- `packages/*`: Contains the source code of the packages. Each package is a separate npm package.
+  - `llamaindex`: The starter package for LlamaIndex.TS, which contains the all sub-packages.
+  - `core`: The core package of LlamaIndex.TS, which contains the abstract classes and interfaces. It is designed for
+    all JS runtime environments.
+  - `env`: The environment package of LlamaIndex.TS, which contains the environment-specific classes and interfaces. It
+    includes compatibility layers for Node.js, Deno, Vercel Edge Runtime, Cloudflare Workers...
+- `apps/*`: The applications based on LlamaIndex.TS.
+  - `next`: Our documentation website based on Next.js.
+- `examples`: The code examples of LlamaIndex.TS using Node.js.
 
 ## Getting Started
 
-Install NodeJS. Preferably v18 using nvm or n.
-
-Inside the LlamaIndexTS directory:
+Make sure you have Node.js LIS (Long-term Support) installed. You can check your Node.js version by running:
 
+```shell
+node -v
+# v20.x.x
 ```
-npm i -g pnpm ts-node
+
+### Use pnpm
+
+```shell
+corepack enable
+```
+
+### Install dependencies
+
+```shell
 pnpm install
 ```
 
-Note: we use pnpm in this repo, which has a lot of the same functionality and CLI options as npm but it does do some things better in a monorepo, like centralizing dependencies and caching.
+### Build the packages
 
-PNPM's has documentation on its [workspace feature](https://pnpm.io/workspaces) and Turborepo had some [useful documentation also](https://turbo.build/repo/docs/core-concepts/monorepos/running-tasks).
+You'll need Turbo to build the packages. If you don't have it, you can run it with `pnpx`.
 
-### Running Typescript
+To build all packages, run:
 
-When we publish to NPM we will have a tsc compiled version of the library in JS. For now, the easiest thing to do is use ts-node.
+```shell
+# Build all packages
+pnpx turbo build --filter "./packages/*"
 
-### Test cases
-
-To run them, run
-
-```
-pnpm run test
-```
-
-To write new test cases write them in [packages/llamaindex/tests](/packages/llamaindex/tests)
-
-We use Vitest https://vitest.dev to write our test cases. Vitest comes with a bunch of built-in assertions using the expect function: https://vitest.dev/api/expect.html#expect
-
-### Demo applications
-
-There is an existing ["example"](/examples/README.md) demos folder with mainly NodeJS scripts. Feel free to add additional demos to that folder. If you would like to try out your changes in the `llamaindex` package with a new demo, you need to run the build command in the README.
-
-You can create new demo applications in the apps folder. Just run pnpm init in the folder after you create it to create its own package.json
-
-### Installing packages
-
-To install packages for a specific package or demo application, run
-
-```
-pnpm add [NPM Package] --filter [package or application i.e. llamaindex or docs]
-```
-
-To install packages for every package or application run
-
-```
-pnpm add -w [NPM Package]
+# Or if you have turbo installed, you can run:
+turbo build --filter "./packages/*"
 ```
 
 ### Docs
 
-To contribute to the docs, go to the docs website folder and run the Docusaurus instance.
-
-```bash
-cd apps/docs
-pnpm install
-pnpm start
-```
-
-That should start a webserver which will serve the docs on https://localhost:3000
-
-Any changes you make should be reflected in the browser. If you need to regenerate the API docs and find that your TSDoc isn't getting the updates, feel free to remove apps/docs/api. It will automatically regenerate itself when you run pnpm start again.
+See the [docs](./apps/next/README.md) for more information.
 
 ## Changeset
 
-We use [changesets](https://github.com/changesets/changesets) for managing versions and changelogs. To create a new changeset, run in the root folder:
+We use [changesets](https://github.com/changesets/changesets) for managing versions and changelogs. To create a new
+changeset, run in the root folder:
 
 ```
 pnpm changeset
@@ -95,6 +74,6 @@ The [Release Github Action](.github/workflows/release.yml) is automatically gene
 PR called "Release {version}".
 
 This PR will update the `package.json` and `CHANGELOG.md` files of each package according to
-the current changesets in the [.changeset](.changeset/) folder.
+the current changesets in the [.changeset](.changeset) folder.
 
 If this PR is merged it will automatically add version tags to the repository and publish the updated packages to NPM.

README.md

@@ -1,12 +1,16 @@
-# LlamaIndex.TS
+<p align="center">
+  <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" />
+</p>
+<h1 align="center">LlamaIndex.TS</h1>
+<h3 align="center">
+  Data framework for your LLM application.
+</h3>
 
 [![NPM Version](https://img.shields.io/npm/v/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![NPM License](https://img.shields.io/npm/l/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![NPM Downloads](https://img.shields.io/npm/dm/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![Discord](https://img.shields.io/discord/1059199217496772688)](https://discord.com/invite/eN6D2HQ4aX)
 
-LlamaIndex is a data framework for your LLM application.
-
 Use your own data with large language models (LLMs, OpenAI ChatGPT and others) in JS runtime environments with TypeScript support.
 
 Documentation: https://ts.llamaindex.ai/
@@ -25,7 +29,7 @@ LlamaIndex.TS aims to be a lightweight, easy to use set of libraries to help you
 
 LlamaIndex.TS supports multiple JS environments, including:
 
-- Node.js (18, 20, 22) ✅
+- Node.js >= 20 ✅
 - Deno ✅
 - Bun ✅
 - Nitro ✅
@@ -57,252 +61,22 @@ pnpm install llamaindex
 yarn add llamaindex
 ```
 
-### Setup TypeScript
+### Setup in Node.js, Deno, Bun, TypeScript...?
 
-```json5
-{
-  compilerOptions: {
-    // ⬇️ add this line to your tsconfig.json
-    moduleResolution: "bundler", // or "node16"
-  },
-}
+See our official document: <https://ts.llamaindex.ai/docs/llamaindex/getting_started/>
+
+### Adding provider packages
+
+In most cases, you'll also need to install provider packages to use LlamaIndexTS. These are for adding AI models, file readers for ingestion or storing documents, e.g. in vector databases.
+
+For example, to use the OpenAI LLM, you would install the following package:
+
+```shell
+npm install @llamaindex/openai
+pnpm install @llamaindex/openai
+yarn add @llamaindex/openai
 ```
 
-<details>
-   <summary>Why?</summary>
-  We are shipping both ESM and CJS module, and compatible with Vercel Edge, Cloudflare Workers, and other serverless platforms.
-
-So we are using [conditional exports](https://nodejs.org/api/packages.html#conditional-exports) to support all environments.
-
-This is a kind of modern way of shipping packages, but might cause TypeScript type check to fail because of legacy module resolution.
-
-Imaging you put output file into `/dist/openai.js` but you are importing `llamaindex/openai` in your code, and set `package.json` like this:
-
-```json
-{
-  "exports": {
-    "./openai": "./dist/openai.js"
-  }
-}
-```
-
-In old module resolution, TypeScript will not be able to find the module because it is not follow the file structure, even you run `node index.js` successfully. (on Node.js >=16)
-
-See more about [moduleResolution](https://www.typescriptlang.org/docs/handbook/modules/theory.html#module-resolution) or
-[TypeScript 5.0 blog](https://devblogs.microsoft.com/typescript/announcing-typescript-5-0/#--moduleresolution-bundler7).
-
-</details>
-
-### Node.js
-
-```ts
-import fs from "node:fs/promises";
-import { Document, VectorStoreIndex } from "llamaindex";
-
-async function main() {
-  // Load essay from abramov.txt in Node
-  const essay = await fs.readFile(
-    "node_modules/llamaindex/examples/abramov.txt",
-    "utf-8",
-  );
-
-  // Create Document object with essay
-  const document = new Document({ text: essay });
-
-  // Split text and create embeddings. Store them in a VectorStoreIndex
-  const index = await VectorStoreIndex.fromDocuments([document]);
-
-  // Query the index
-  const queryEngine = index.asQueryEngine();
-  const response = await queryEngine.query({
-    query: "What did the author do in college?",
-  });
-
-  // Output response
-  console.log(response.toString());
-}
-
-main();
-```
-
-```bash
-# `pnpm install tsx` before running the script
-node --import tsx ./main.ts
-```
-
-### Next.js
-
-You will need to add a llamaindex plugin to your Next.js project.
-
-```js
-// next.config.js
-const withLlamaIndex = require("llamaindex/next");
-
-module.exports = withLlamaIndex({
-  // your next.js config
-});
-```
-
-### React Server Actions
-
-You can combine `ai` with `llamaindex` in Next.js, Waku or Redwood.js with RSC (React Server Components).
-
-```tsx
-"use client";
-import { chatWithAgent } from "@/actions";
-import type { JSX } from "react";
-import { useActionState } from "react";
-
-export default function Home() {
-  const [ui, action] = useActionState<JSX.Element | null>(async () => {
-    return chatWithAgent("hello!", []);
-  }, null);
-  return (
-    <main>
-      {ui}
-      <form action={action}>
-        <button>Chat</button>
-      </form>
-    </main>
-  );
-}
-```
-
-```tsx
-// src/actions/index.ts
-"use server";
-import { createStreamableUI } from "ai/rsc";
-import { OpenAIAgent } from "llamaindex";
-import type { ChatMessage } from "llamaindex/llm/types";
-
-export async function chatWithAgent(
-  question: string,
-  prevMessages: ChatMessage[] = [],
-) {
-  const agent = new OpenAIAgent({
-    tools: [
-      // ... adding your tools here
-    ],
-  });
-  const responseStream = await agent.chat(
-    {
-      message: question,
-      chatHistory: prevMessages,
-    },
-    true,
-  );
-  const uiStream = createStreamableUI(<div>loading...</div>);
-  responseStream
-    .pipeTo(
-      new WritableStream({
-        start: () => {
-          uiStream.update("response:");
-        },
-        write: async (message) => {
-          uiStream.append(message.response.delta);
-        },
-      }),
-    )
-    .catch(console.error);
-  return uiStream.value;
-}
-```
-
-### Cloudflare Workers
-
-> [!TIP]
-> Some modules are not supported in Cloudflare Workers which require Node.js APIs.
-
-```ts
-// add `OPENAI_API_KEY` to the `.dev.vars` file
-interface Env {
-  OPENAI_API_KEY: string;
-}
-
-export default {
-  async fetch(
-    request: Request,
-    env: Env,
-    ctx: ExecutionContext,
-  ): Promise<Response> {
-    const { OpenAIAgent, OpenAI } = await import("@llamaindex/openai");
-    const text = await request.text();
-    const agent = new OpenAIAgent({
-      llm: new OpenAI({
-        apiKey: env.OPENAI_API_KEY,
-      }),
-      tools: [],
-    });
-    const responseStream = await agent.chat({
-      stream: true,
-      message: text,
-    });
-    const textEncoder = new TextEncoder();
-    const response = responseStream.pipeThrough<Uint8Array>(
-      new TransformStream({
-        transform: (chunk, controller) => {
-          controller.enqueue(textEncoder.encode(chunk.delta));
-        },
-      }),
-    );
-    return new Response(response);
-  },
-};
-```
-
-### Vite
-
-We have some wasm dependencies for better performance. You can use `vite-plugin-wasm` to load them.
-
-```ts
-import wasm from "vite-plugin-wasm";
-
-export default {
-  plugins: [wasm()],
-  ssr: {
-    external: ["tiktoken"],
-  },
-};
-```
-
-### Tips when using in non-Node.js environments
-
-When you are importing `llamaindex` in a non-Node.js environment(such as Vercel Edge, Cloudflare Workers, etc.)
-Some classes are not exported from top-level entry file.
-
-The reason is that some classes are only compatible with Node.js runtime,(e.g. `PDFReader`) which uses Node.js specific APIs(like `fs`, `child_process`, `crypto`).
-
-If you need any of those classes, you have to import them instead directly though their file path in the package.
-Here's an example for importing the `PineconeVectorStore` class:
-
-```typescript
-import { PineconeVectorStore } from "llamaindex/storage/vectorStore/PineconeVectorStore";
-```
-
-As the `PDFReader` is not working with the Edge runtime, here's how to use the `SimpleDirectoryReader` with the `LlamaParseReader` to load PDFs:
-
-```typescript
-import { SimpleDirectoryReader } from "llamaindex/readers/SimpleDirectoryReader";
-import { LlamaParseReader } from "llamaindex/readers/LlamaParseReader";
-
-export const DATA_DIR = "./data";
-
-export async function getDocuments() {
-  const reader = new SimpleDirectoryReader();
-  // Load PDFs using LlamaParseReader
-  return await reader.loadData({
-    directoryPath: DATA_DIR,
-    fileExtToReader: {
-      pdf: new LlamaParseReader({ resultType: "markdown" }),
-    },
-  });
-}
-```
-
-> _Note_: Reader classes have to be added explictly to the `fileExtToReader` map in the Edge version of the `SimpleDirectoryReader`.
-
-You'll find a complete example with LlamaIndexTS here: https://github.com/run-llama/create_llama_projects/tree/main/nextjs-edge-llamaparse
-
 ## Playground
 
 Check out our NextJS playground at https://llama-playground.vercel.app/. The source is available at https://github.com/run-llama/ts-playground

apps/docs/.changeset/tall-parents-add.md

@@ -1,6 +0,0 @@
----
-"llamaindex": minor
-"docs": minor
----
-
-Add deepseek llm class

apps/docs/.gitignore

@@ -1,21 +0,0 @@
-# Dependencies
-/node_modules
-
-# Production
-/build
-
-# Generated files
-.docusaurus
-.cache-loader
-lib
-
-# Misc
-.DS_Store
-.env.local
-.env.development.local
-.env.test.local
-.env.production.local
-
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*

apps/docs/README-docusaurus.md

@@ -1,47 +0,0 @@
-# Website
-
-This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator.
-
-### Installation
-
-```
-$ pnpm
-```
-
-### Local Development
-
-```
-$ pnpm start
-```
-
-This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
-
-However, the searchbar may not function with `yarn start`. Instead, run `yarn build` and launch a server:
-
-```
-$ npx http-server ./build
-```
-
-### Build
-
-```
-$ pnpm build
-```
-
-This command generates static content into the `build` directory and can be served using any static contents hosting service.
-
-### Deployment
-
-Using SSH:
-
-```
-$ USE_SSH=true pnpm deploy
-```
-
-Not using SSH:
-
-```
-$ GIT_USER=<Your GitHub username> pnpm deploy
-```
-
-If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.

apps/docs/babel.config.js

@@ -1,3 +0,0 @@
-module.exports = {
-  presets: [require.resolve("@docusaurus/core/lib/babel/preset")],
-};

apps/docs/blog/2024-04-26-v0.3.0.md

@@ -1,493 +0,0 @@
----
-title: LlamaIndexTS v0.3.0
-description: This is my first post on Docusaurus.
-slug: welcome-llamaindexts-v0.3
-authors:
-  - name: Alex Yang
-    title: LlamaIndexTS maintainer, Node.js Member
-    url: https://github.com/himself65
-    image_url: https://github.com/himself65.png
-tags: [llamaindex, agent]
-hide_table_of_contents: false
----
-
-- [What's new in LlamaIndexTS v0.3.0](#whats-new-in-llamaindexts-v030)
-- [Improvement in LlamaIndexTS v0.3.0](#improvement-in-llamaindexts-v030)
-- [What's the next?](#whats-the-next)
-
-## What's new in LlamaIndexTS v0.3.0
-
-## Agents
-
-In this release, we've not only ported the Agent module from the LlamaIndex Python version but have significantly
-enhanced it to be more powerful and user-friendly for JavaScript/TypeScript applications.
-
-Starting from v0.3.0, we are introducing multiple agents specifically designed for RAG applications, including:
-
-- `OpenAIAgent`
-- `AnthropicAgent`
-- `ReActAgent`:
-
-```ts
-import { OpenAIAgent } from "llamaindex";
-import { tools } from "./tools";
-
-const agent = new OpenAIAgent({
-  tools: [...tools],
-});
-const { response } = await agent.chat({
-  message: "What is weather today?",
-  stream: false,
-});
-
-console.log(response.message.content);
-```
-
-We are also introducing the abstract AgentRunner class, which allows you to create your own agent by simply implementing
-the task handler.
-
-```ts
-import { AgentRunner, OpenAI } from "llamaindex";
-
-class MyLLM extends OpenAI {}
-
-export class MyAgentWorker extends AgentWorker<MyLLM> {
-  taskHandler = MyAgent.taskHandler;
-}
-
-export class MyAgent extends AgentRunner<MyLLM> {
-  constructor(params: Params) {
-    super({
-      llm: params.llm,
-      chatHistory: params.chatHistory ?? [],
-      systemPrompt: params.systemPrompt ?? null,
-      runner: new MyAgentWorker(),
-      tools:
-        "tools" in params
-          ? params.tools
-          : params.toolRetriever.retrieve.bind(params.toolRetriever),
-    });
-  }
-
-  // create store is a function to create a store for each task, by default it only includes `messages` and `toolOutputs`
-  createStore = AgentRunner.defaultCreateStore;
-
-  static taskHandler: TaskHandler<Anthropic> = async (step, enqueueOutput) => {
-    const { llm, stream } = step.context;
-    // initialize the input
-    const response = await llm.chat({
-      stream,
-      messages: step.context.store.messages,
-    });
-    // store the response for next task step
-    step.context.store.messages = [
-      ...step.context.store.messages,
-      response.message,
-    ];
-    // your logic here to decide whether to continue the task
-    const shouldContinue = Math.random(); /* <-- replace with your logic here */
-    enqueueOutput({
-      taskStep: step,
-      output: response,
-      isLast: !shouldContinue,
-    });
-    if (shouldContinue) {
-      const content = await someHeavyFunctionCall();
-      // if you want to continue the task, you can insert your new context for the next task step
-      step.context.store.messages = [
-        ...step.context.store.messages,
-        {
-          content,
-          role: "user",
-        },
-      ];
-    }
-  };
-}
-```
-
-### Web Stream API for Streaming response
-
-Web Stream is a web standard utilized in many modern web frameworks and libraries (like React 19, Deno, Node 22). We
-have migrated streaming responses to Web Stream to ensure broader compatibility.
-
-For instance, you can use the streaming response in a simple HTTP Server:
-
-```ts
-import { createServer } from "http";
-import { OpenAIAgent } from "llamaindex";
-import { OpenAIStream, streamToResponse } from "ai";
-import { tools } from "./tools";
-
-const agent = new OpenAIAgent({
-  tools: [...tools],
-});
-
-const server = createServer(async (req, res) => {
-  const response = await agent.chat({
-    message: "What is weather today?",
-    stream: true,
-  });
-
-  // Transform the response into a string readable stream
-  const stream: ReadableStream<string> = response.pipeThrough(
-    new TransformStream({
-      transform: (chunk, controller) => {
-        controller.enqueue(chunk.response.delta);
-      },
-    }),
-  );
-
-  // Pipe the stream to the response
-  streamToResponse(stream, res);
-});
-
-server.listen(3000);
-```
-
-Or it can be integrated into React Server Components (RSC) in Next.js:
-
-```tsx
-// app/actions/index.tsx
-"use server";
-import { createStreamableUI } from "ai/rsc";
-import { OpenAIAgent } from "llamaindex";
-import type { ChatMessage } from "llamaindex/llm/types";
-
-export async function chatWithAgent(
-  question: string,
-  prevMessages: ChatMessage[] = [],
-) {
-  const agent = new OpenAIAgent({
-    tools: [],
-  });
-  const responseStream = await agent.chat({
-    stream: true,
-    message: question,
-    chatHistory: prevMessages,
-  });
-  const uiStream = createStreamableUI(<div>loading...</div>);
-  responseStream
-    .pipeTo(
-      new WritableStream({
-        start: () => {
-          uiStream.update("response:");
-        },
-        write: async (message) => {
-          uiStream.append(message.response.delta);
-        },
-      }),
-    )
-    .catch(uiStream.error);
-  return uiStream.value;
-}
-```
-
-```tsx
-// app/src/page.tsx
-"use client";
-import { chatWithAgent } from "@/actions";
-import type { JSX } from "react";
-import { useFormState } from "react-dom";
-
-export const runtime = "edge";
-
-export default function Home() {
-  const [state, action] = useFormState<JSX.Element | null>(async () => {
-    return chatWithAgent("hello!", []);
-  }, null);
-  return (
-    <main>
-      {state}
-      <form action={action}>
-        <button>Chat</button>
-      </form>
-    </main>
-  );
-}
-```
-
-## Improvement in LlamaIndexTS v0.3.0
-
-### Better TypeScript support
-
-We have made significant improvements to the type system to ensure that all code is thoroughly checked before it is
-published. This ongoing enhancement has already resulted in better module reliability and developer experience.
-
-For example, we have improved `FunctionTool` type with generic support:
-
-```ts
-type Input = {
-  a: number;
-  b: number;
-};
-
-const sumNumbers = FunctionTool.from<Input>(
-  ({ a, b }) => `${a + b}`, // a and b will be checked as number
-  // JSON schema will be an error if you type wrong.
-  {
-    name: "sumNumbers",
-    description: "Use this function to sum two numbers",
-    parameters: {
-      type: "object",
-      properties: {
-        a: {
-          type: "number",
-          description: "The first number",
-        },
-        b: {
-          type: "number",
-          description: "The second number",
-        },
-      },
-      required: ["a", "b"],
-    },
-  },
-);
-```
-
-![type checking](./img/function_tool_example.png)
-
-### Better Next.js, Deno, Cloudflare Worker, and Waku(Vite) support
-
-In addition to Node.js, LlamaIndexTS now offers enhanced support for Next.js, Deno, and Cloudflare Workers, making it
-more versatile across different platforms.
-
-For now, you can install llamaindex and directly import it into your existing Next.js, Deno or Cloudflare Worker project
-**without any extra configuration**.
-
-#### [Deno](https://deno.com/)
-
-You can use LlamaIndexTS in Deno by installation through JSR:
-
-```sh
-jsr add @llamaindex/core
-```
-
-#### [Cloudflare Worker](https://developers.cloudflare.com/workers/)
-
-For Cloudflare Workers, here is a starter template:
-
-```typescript
-export default {
-  async fetch(
-    request: Request,
-    env: Env,
-    ctx: ExecutionContext,
-  ): Promise<Response> {
-    const { setEnvs } = await import("@llamaindex/env");
-    setEnvs(env);
-    const { OpenAIAgent } = await import("llamaindex");
-    const agent = new OpenAIAgent({
-      tools: [],
-    });
-    const responseStream = await agent.chat({
-      stream: true,
-      message: "Hello? What is the weather today?",
-    });
-    const textEncoder = new TextEncoder();
-    const response = responseStream.pipeThrough(
-      new TransformStream({
-        transform: (chunk, controller) => {
-          controller.enqueue(textEncoder.encode(chunk.response.delta));
-        },
-      }),
-    );
-    return new Response(response);
-  },
-};
-```
-
-### [Waku (Vite)](https://waku.gg/)
-
-Waku powered by Vite is a minimal React framework that supports multiple JS environments, including Deno, Cloudflare, and
-Node.js.
-
-You can use LlamaIndexTS with Node.js output to enable full Node.js support with React.
-
-```sh
-npm install llamaindex
-```
-
-```ts
-// file: src/actions.ts
-"use server";
-import { Document, VectorStoreIndex } from "llamaindex";
-import { readFile } from "node:fs/promises";
-
-const path = "node_modules/llamaindex/examples/abramov.txt";
-
-const essay = await readFile(path, "utf-8");
-
-// Create Document object with essay
-const document = new Document({ text: essay, id_: path });
-
-// Split text and create embeddings. Store them in a VectorStoreIndex
-const index = await VectorStoreIndex.fromDocuments([document]);
-
-const queryEngine = index.asQueryEngine();
-
-export async function chatWithAI(question: string): Promise<string> {
-  const { response } = await queryEngine.query({ query: question });
-  return response;
-}
-```
-
-```tsx
-// file: src/pages/index.tsx
-import { chatWithAI } from "./actions";
-
-export default async function HomePage() {
-  return (
-    <div>
-      <Chat askQuestion={chatWithAI} />
-    </div>
-  );
-}
-```
-
-```tsx
-// file: src/components/Chat.tsx
-"use client";
-
-export type ChatProps = {
-  askQuestion: (question: string) => Promise<string>;
-};
-
-export const Chat = (props: ChatProps) => {
-  const [response, setResponse] = useState<string | null>(null);
-
-  return (
-    <section className="border-blue-400 -mx-4 mt-4 rounded border border-dashed p-4">
-      <h2 className="text-lg font-bold">Chat with AI</h2>
-      {response ? (
-        <p className="text-sm text-gray-600 max-w-sm">{response}</p>
-      ) : null}
-      <form
-        action={async (formData) => {
-          const question = formData.get("question") as string | null;
-          if (question) {
-            setResponse(await props.askQuestion(question));
-          }
-        }}
-      >
-        <input
-          type="text"
-          name="question"
-          className="border border-gray-400 rounded-sm px-2 py-0.5 text-sm"
-        />
-        <button className="rounded-sm bg-black px-2 py-0.5 text-sm text-white">
-          Ask
-        </button>
-      </form>
-    </section>
-  );
-};
-```
-
-```shell
-waku dev # development mode
-waku build # build for production
-waku start # start the production server
-```
-
-Note that not all the modules are supported in all JS environments because of
-lack of the file system, network API,
-and incompatibility with the Node.js API by upstream dependencies.
-
-But we are trying to make it more compatible with all the environments.
-
-## What's the next?
-
-As we continue to develop LlamaIndexTS, our focus remains on providing more comprehensive and powerful tools for
-creating custom agents.
-
-### Align with the Python `llama-index`
-
-We aim to align LlamaIndexTS with the Python version to ensure API consistency and ease of use for developers familiar
-with the Python ecosystem.
-
-### Align with the Web Standard and JS development
-
-Not all python APIs are compatible and easy to use in JavaScript/TypeScript.
-We are trying to make the API more compatible with the Web Standard and JavaScript modern development.
-
-### More Agents
-
-Future releases will introduce more agents from the Python Llama-Index and explore APIs tailored to real-world use
-cases.
-
-### 🧪 `@llamaindex/tool`
-
-We are exploring innovative ways to create tools for agents. The `@llamaindex/tool` library allows you to transform any
-function into a tool for an agent, simplifying the development process and reducing runtime costs.
-
-```ts
-export function getWeather(city: string) {
-  return `The weather in ${city} is sunny.`;
-}
-
-// you don't need to worry about the shcema with different llm tools
-export function getTemperature(city: string) {
-  return `The temperature in ${city} is 25°C.`;
-}
-
-export function getCurrentCity() {
-  return "New York";
-}
-```
-
-These functions can be easily integrated into your applications, such as Next.js:
-
-```ts
-"use server";
-import { OpenAI } from "openai";
-import { getTools } from "@llamaindex/tool";
-
-export async function chat(message: string) {
-  const openai = new OpenAI();
-  openai.chat.completions.create({
-    messages: [
-      {
-        role: "user",
-        content: "What is the weather in the current city?",
-      },
-    ],
-    tools: getTools("openai"),
-  });
-}
-```
-
-```ts
-// next.config.js
-const withTool = require("@llamaindex/tool/next");
-
-const config = {
-  // Your original Next.js config
-};
-module.exports = withTool(config);
-```
-
-The functions are automatically transformed into tools for the agent at compile time, which eliminates any extra runtime
-costs. This feature is particularly beneficial when you need to debug or deploy your assistant.
-
-For deploying your local functions into OpenAI, you can use a simple command:
-
-```sh
-npm install -g @llamaindex/tool
-mkai --tools ./src/index.llama.ts
-# Successfully created assistant: asst_XXX
-# chat with your assistant by `chatai --assistant asst_XXX`
-chatai --assistant asst_XXX
-# Open your browser and chat with your assistant
-# Running at http://localhost:3000
-```
-
-This deployment process simplifies the testing and implementation of your custom tools in a live environment.
-
-As this project is still in its early stages, we continue to explore the best ways to create and integrate tools for
-agents. For more information and updates, visit the @llamaindex/tool repository.
-
-This release of LlamaIndexTS v0.3.0 marks a significant step forward in our journey to provide developers with robust,
-flexible tools for building advanced agents. We are excited to see how our community utilizes these new capabilities to
-create innovative solutions and look forward to continuing to support and enhance LlamaIndexTS in future updates.

apps/docs/docs/.gitignore

@@ -1 +0,0 @@
-api/

apps/docs/docs/examples/_category_.yml

@@ -1,2 +0,0 @@
-label: Examples
-position: 3

apps/docs/docs/examples/agent.mdx

@@ -1,10 +0,0 @@
-# Agents
-
-A built-in agent that can take decisions and reasoning based on the tools provided to it.
-
-## OpenAI Agent
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/agent/openai";
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>

apps/docs/docs/examples/agent_gemini.mdx

@@ -1,6 +0,0 @@
-# Gemini Agent
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSourceGemini from "!raw-loader!../../../../examples/gemini/agent.ts";
-
-<CodeBlock language="ts">{CodeSourceGemini}</CodeBlock>

apps/docs/docs/examples/chat_engine.mdx

@@ -1,12 +0,0 @@
----
-sidebar_position: 2
----
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/chatEngine";
-
-# Chat Engine
-
-Chat Engine is a class that allows you to create a chatbot from a retriever. It is a wrapper around a retriever that allows you to chat with it in a conversational manner.
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>

apps/docs/docs/examples/save_load_index.mdx

@@ -1,10 +0,0 @@
----
-sidebar_position: 4
----
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/storageContext";
-
-# Save/Load an Index
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>

apps/docs/docs/examples/summary_index.mdx

@@ -1,10 +0,0 @@
----
-sidebar_position: 3
----
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/summaryIndex";
-
-# Summary Index
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>

apps/docs/docs/examples/vector_index.mdx

@@ -1,10 +0,0 @@
----
-sidebar_position: 2
----
-
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/vectorIndex";
-
-# Vector Index
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>

apps/docs/docs/getting_started/_category_.yml

@@ -1,2 +0,0 @@
-label: Getting Started
-position: 1

apps/docs/docs/getting_started/environments.md

@@ -1,22 +0,0 @@
----
-sidebar_position: 2
----
-
-# Environments
-
-We support Node.JS versions 18, 20 and 22, with experimental support for Deno, Bun and Vercel Edge functions.
-
-## NextJS
-
-If you're using NextJS you'll need to add `withLlamaIndex` to your `next.config.js` file. This will add the necessary configuration for included 3rd-party libraries to your build:
-
-```js
-// next.config.js
-const withLlamaIndex = require("llamaindex/next");
-
-module.exports = withLlamaIndex({
-  // your next.js config
-});
-```
-
-For details, check the latest [withLlamaIndex](https://github.com/run-llama/LlamaIndexTS/blob/main/packages/llamaindex/src/next.ts) implementation.

apps/docs/docs/getting_started/installation.mdx

@@ -1,34 +0,0 @@
----
-sidebar_position: 0
----
-
-# Installation and Setup
-
-We support Node.JS versions 18, 20 and 22, with experimental support for Deno, Bun and Vercel Edge functions.
-
-## Installation from NPM
-
-```bash npm2yarn
-npm install llamaindex
-```
-
-### Environment variables
-
-Our examples use OpenAI by default. You can use [other LLMs](../examples/other_llms) via their APIs; if you would prefer to use local models check out our [local LLM example](../examples/local_llm).
-
-To use OpenAI, you'll need to [get an OpenAI API key](https://platform.openai.com/account/api-keys) and then make it available as an environment variable this way:
-
-```bash
-export OPENAI_API_KEY="sk-......" # Replace with your key
-```
-
-If you want to have it automatically loaded every time, add it to your `.zshrc/.bashrc`.
-
-**WARNING:** do not check in your OpenAI key into version control. GitHub automatically invalidates OpenAI keys checked in by accident.
-
-## What next?
-
-- The easiest way to started is to [build a full-stack chat app with `create-llama`](starter_tutorial/chatbot).
-- Try our other [getting started tutorials](starter_tutorial/retrieval_augmented_generation)
-- Learn more about the [high level concepts](concepts) behind how LlamaIndex works
-- Check out our [many examples](../examples/more_examples) of LlamaIndex.TS in action

apps/docs/docs/getting_started/starter_tutorial/_category_.yml

@@ -1,2 +0,0 @@
-label: Starter Tutorials
-position: 1

apps/docs/docs/guides/_category_.yml

@@ -1,2 +0,0 @@
-label: Guides
-position: 2

apps/docs/docs/guides/agents/_category_.yml

@@ -1,2 +0,0 @@
-label: Agents
-position: 1

apps/docs/docs/introduction.md

@@ -1,54 +0,0 @@
----
-sidebar_position: 0
-slug: /
----
-
-# What is LlamaIndex?
-
-LlamaIndex is a framework for building LLM-powered applications. LlamaIndex helps you ingest, structure, and access private or domain-specific data. It's available [as a Python package](https://docs.llamaindex.ai/en/stable/) and in TypeScript (this package). LlamaIndex.TS offers the core features of LlamaIndex for popular runtimes like Node.js (official support), Vercel Edge Functions (experimental), and Deno (experimental).
-
-## 🚀 Why LlamaIndex.TS?
-
-LLMs offer a natural language interface between humans and inferred data. Widely available models come pre-trained on huge amounts of publicly available data, from Wikipedia and mailing lists to textbooks and source code.
-
-Applications built on top of LLMs often require augmenting these models with private or domain-specific data. That data is often distributed across siloed applications and data stores. It's behind APIs, in SQL databases, or trapped in PDFs and slide decks.
-
-LlamaIndex.TS helps you unlock that data and then build powerful applications with it.
-
-## 🦙 What is LlamaIndex for?
-
-LlamaIndex.TS handles several major use cases:
-
-- **Structured Data Extraction**: turning complex, unstructured and semi-structured data into uniform, programmatically accessible formats.
-- **Retrieval-Augmented Generation (RAG)**: answering queries across your internal data by providing LLMs with up-to-date, semantically relevant context including Question and Answer systems and chat bots.
-- **Autonomous Agents**: building software that is capable of intelligently selecting and using tools to accomplish tasks in an interactive, unsupervised manner.
-
-## 👨‍👩‍👧‍👦 Who is LlamaIndex for?
-
-LlamaIndex targets the "AI Engineer": developers building software in any domain that can be enhanced by LLM-powered functionality, without needing to be an expert in machine learning or natural language processing.
-
-Our high-level API allows beginner users to use LlamaIndex.TS to ingest, index, and query their data in just a few lines of code.
-
-For more complex applications, our lower-level APIs allow advanced users to customize and extend any module—data connectors, indices, retrievers, and query engines, to fit their needs.
-
-## Getting Started
-
-`npm install llamaindex`
-
-Our documentation includes [Installation Instructions](./getting_started/installation.mdx) and a [Starter Tutorial](./getting_started/starter_tutorial/retrieval_augmented_generation.mdx) to build your first application.
-
-Once you're up and running, [High-Level Concepts](./getting_started/concepts.md) has an overview of LlamaIndex's modular architecture. For more hands-on practical examples, look through our Examples section on the sidebar.
-
-## 🗺️ Ecosystem
-
-To download or contribute, find LlamaIndex on:
-
-- Github: https://github.com/run-llama/LlamaIndexTS
-- NPM: https://www.npmjs.com/package/llamaindex
-
-## Community
-
-Need help? Have a feature suggestion? Join the LlamaIndex community:
-
-- Twitter: https://twitter.com/llama_index
-- Discord https://discord.gg/dGcwcsnxhU

apps/docs/docs/modules/_category_.yml

@@ -1,3 +0,0 @@
-label: "Modules"
-collapsed: false
-position: 5

apps/docs/docs/modules/agent/_category_.yml

@@ -1,2 +0,0 @@
-label: "Agents"
-position: 10

apps/docs/docs/modules/chat_engine.md

@@ -1,30 +0,0 @@
----
-sidebar_position: 13
----
-
-# ChatEngine
-
-The chat engine is a quick and simple way to chat with the data in your index.
-
-```typescript
-const retriever = index.asRetriever();
-const chatEngine = new ContextChatEngine({ retriever });
-
-// start chatting
-const response = await chatEngine.chat({ message: query });
-```
-
-The `chat` function also supports streaming, just add `stream: true` as an option:
-
-```typescript
-const stream = await chatEngine.chat({ message: query, stream: true });
-for await (const chunk of stream) {
-  process.stdout.write(chunk.response);
-}
-```
-
-## Api References
-
-- [ContextChatEngine](../api/classes/ContextChatEngine.md)
-- [CondenseQuestionChatEngine](../api/classes/ContextChatEngine.md)
-- [SimpleChatEngine](../api/classes/SimpleChatEngine.md)

apps/docs/docs/modules/data_loaders/_category_.yml

@@ -1,2 +0,0 @@
-label: "Loaders"
-position: 1

apps/docs/docs/modules/data_loaders/index.mdx

@@ -1,58 +0,0 @@
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../../examples/readers/src/simple-directory-reader";
-import CodeSource2 from "!raw-loader!../../../../../examples/readers/src/custom-simple-directory-reader";
-
-# Loader
-
-Before you can start indexing your documents, you need to load them into memory.
-
-All "basic" data loaders can be seen below, mapped to their respective filetypes in `SimpleDirectoryReader`. More loaders are shown in the sidebar on the left.
-Additionally the following loaders exist without separate documentation:
-
-- `AssemblyAIReader` transcribes audio using [AssemblyAI](https://www.assemblyai.com/).
-  - [AudioTranscriptReader](../../api/classes/AudioTranscriptReader.md): loads entire transcript as a single document.
-  - [AudioTranscriptParagraphsReader](../../api/classes/AudioTranscriptParagraphsReader.md): creates a document per paragraph.
-  - [AudioTranscriptSentencesReader](../../api/classes/AudioTranscriptSentencesReader.md): creates a document per sentence.
-  - [AudioSubtitlesReader](../../api/classes/AudioTranscriptParagraphsReader.md): creates a document containing the subtitles of a transcript.
-- [NotionReader](../../api/classes/NotionReader.md) loads [Notion](https://www.notion.so/) pages.
-- [SimpleMongoReader](../../api/classes/SimpleMongoReader) loads data from a [MongoDB](https://www.mongodb.com/).
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## SimpleDirectoryReader
-
-[![Open in StackBlitz](https://developer.stackblitz.com/img/open_in_stackblitz.svg)](https://stackblitz.com/github/run-llama/LlamaIndexTS/tree/main/examples/readers?file=src/simple-directory-reader.ts&title=Simple%20Directory%20Reader)
-
-LlamaIndex.TS supports easy loading of files from folders using the `SimpleDirectoryReader` class.
-
-It is a simple reader that reads all files from a directory and its subdirectories.
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>
-
-Currently, the following readers are mapped to specific file types:
-
-- [TextFileReader](../../api/classes/TextFileReader.md): `.txt`
-- [PDFReader](../../api/classes/PDFReader.md): `.pdf`
-- [PapaCSVReader](../../api/classes/PapaCSVReader.md): `.csv`
-- [MarkdownReader](../../api/classes/MarkdownReader.md): `.md`
-- [DocxReader](../../api/classes/DocxReader.md): `.docx`
-- [HTMLReader](../../api/classes/HTMLReader.md): `.htm`, `.html`
-- [ImageReader](../../api/classes/ImageReader.md): `.jpg`, `.jpeg`, `.png`, `.gif`
-
-You can modify the reader three different ways:
-
-- `overrideReader` overrides the reader for all file types, including unsupported ones.
-- `fileExtToReader` maps a reader to a specific file type. Can override reader for existing file types or add support for new file types.
-- `defaultReader` sets a fallback reader for files with unsupported extensions. By default it is `TextFileReader`.
-
-SimpleDirectoryReader supports up to 9 concurrent requests. Use the `numWorkers` option to set the number of concurrent requests. By default it runs in sequential mode, i.e. set to 1.
-
-### Example
-
-<CodeBlock language="ts" showLineNumbers metastring="{8-12,17-21}">
-  {CodeSource2}
-</CodeBlock>
-
-## API Reference
-
-- [SimpleDirectoryReader](../../api/classes/SimpleDirectoryReader.md)

apps/docs/docs/modules/data_loaders/llama_parse/_category_.yml

@@ -1 +0,0 @@
-label: "LlamaParse"

apps/docs/docs/modules/data_stores/_category_.yml

@@ -1,2 +0,0 @@
-label: "Data Stores"
-position: 2

apps/docs/docs/modules/data_stores/chat_stores/_category_.yml

@@ -1 +0,0 @@
-label: "Chat Stores"

apps/docs/docs/modules/data_stores/doc_stores/_category_.yml

@@ -1,2 +0,0 @@
-label: "Document Stores"
-position: 2

apps/docs/docs/modules/data_stores/doc_stores/index.md

@@ -1,14 +0,0 @@
-# Document Stores
-
-Document stores contain ingested document chunks, i.e. [Node](../../documents_and_nodes/index.md)s.
-
-## Available Document Stores
-
-- [SimpleDocumentStore](../../../api/classes/SimpleDocumentStore.md): A simple in-memory document store with support for [persisting](../index.md#local-storage) data to disk.
-- [PostgresDocumentStore](../../../api/classes/PostgresDocumentStore.md): A PostgreSQL document store, see [PostgreSQL Storage](../index.md#postgresql-storage).
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## API Reference
-
-- [BaseDocumentStore](../../../api/classes/BaseDocumentStore.md)

apps/docs/docs/modules/data_stores/index.md

@@ -1,56 +0,0 @@
-# Storage
-
-Storage in LlamaIndex.TS works automatically once you've configured a
-`StorageContext` object.
-
-## Local Storage
-
-You can configure the `persistDir` and attach it to an index.
-
-```typescript
-import {
-  Document,
-  VectorStoreIndex,
-  storageContextFromDefaults,
-} from "llamaindex";
-
-const storageContext = await storageContextFromDefaults({
-  persistDir: "./storage",
-});
-
-const document = new Document({ text: "Test Text" });
-const index = await VectorStoreIndex.fromDocuments([document], {
-  storageContext,
-});
-```
-
-## PostgreSQL Storage
-
-You can configure the `schemaName`, `tableName`, `namespace`, and
-`connectionString`. If a `connectionString` is not
-provided, it will use the environment variables `PGHOST`, `PGUSER`,
-`PGPASSWORD`, `PGDATABASE` and `PGPORT`.
-
-```typescript
-import {
-  Document,
-  VectorStoreIndex,
-  PostgresDocumentStore,
-  PostgresIndexStore,
-  storageContextFromDefaults,
-} from "llamaindex";
-
-const storageContext = await storageContextFromDefaults({
-  docStore: new PostgresDocumentStore(),
-  indexStore: new PostgresIndexStore(),
-});
-
-const document = new Document({ text: "Test Text" });
-const index = await VectorStoreIndex.fromDocuments([document], {
-  storageContext,
-});
-```
-
-## API Reference
-
-- [StorageContext](../../api/interfaces/StorageContext.md)

apps/docs/docs/modules/data_stores/index_stores/_category_.yml

@@ -1,2 +0,0 @@
-label: "Index Stores"
-position: 3

apps/docs/docs/modules/data_stores/index_stores/index.md

@@ -1,14 +0,0 @@
-# Index Stores
-
-Index stores are underlying storage components that contain metadata(i.e. information created when indexing) about the [index](../../data_index.md) itself.
-
-## Available Index Stores
-
-- [SimpleIndexStore](../../../api/classes/SimpleIndexStore.md): A simple in-memory index store with support for [persisting](../index.md#local-storage) data to disk.
-- [PostgresIndexStore](../../../api/classes/PostgresIndexStore.md): A PostgreSQL index store, , see [PostgreSQL Storage](../index.md#postgresql-storage).
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## API Reference
-
-- [BaseIndexStore](../../../api/classes/BaseIndexStore.md)

apps/docs/docs/modules/data_stores/kv_stores/_category_.yml

@@ -1,2 +0,0 @@
-label: "Key-Value Stores"
-position: 4

apps/docs/docs/modules/data_stores/kv_stores/index.md

@@ -1,14 +0,0 @@
-# Key-Value Stores
-
-Key-Value Stores represent underlying storage components used in [Document Stores](../doc_stores/index.md) and [Index Stores](../index_stores/index.md)
-
-## Available Key-Value Stores
-
-- [SimpleKVStore](../../../api/classes/SimpleKVStore.md): A simple Key-Value store with support of [persisting](../index.md#local-storage) data to disk.
-- [PostgresKVStore](../../../api/classes/PostgresKVStore.md): A PostgreSQL Key-Value store, see [PostgreSQL Storage](../index.md#postgresql-storage).
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## API Reference
-
-- [BaseKVStore](../../../api/classes/BaseKVStore.md)

apps/docs/docs/modules/data_stores/vector_stores/_category_.yml

@@ -1,2 +0,0 @@
-label: "Vector Stores"
-position: 1

apps/docs/docs/modules/data_stores/vector_stores/index.md

@@ -1,22 +0,0 @@
-# Vector Stores
-
-Vector stores save embedding vectors of your ingested document chunks.
-
-## Available Vector Stores
-
-Available Vector Stores are shown on the sidebar to the left. Additionally the following integrations exist without separate documentation:
-
-- [SimpleVectorStore](../../../api/classes/SimpleVectorStore.md): A simple in-memory vector store with optional [persistance](../index.md#local-storage) to disk.
-- [AstraDBVectorStore](../../../api/classes/AstraDBVectorStore.md): A cloud-native, scalable Database-as-a-Service built on Apache Cassandra, see [datastax.com](https://www.datastax.com/products/datastax-astra)
-- [ChromaVectorStore](../../../api/classes/ChromaVectorStore.md): An open-source vector database, focused on ease of use and performance, see [trychroma.com](https://www.trychroma.com/)
-- [MilvusVectorStore](../../../api/classes/MilvusVectorStore.md): An open-source, high-performance, highly scalable vector database, see [milvus.io](https://milvus.io/)
-- [MongoDBAtlasVectorSearch](../../../api/classes/MongoDBAtlasVectorSearch.md): A cloud-based vector search solution for MongoDB, see [mongodb.com](https://www.mongodb.com/products/platform/atlas-vector-search)
-- [PGVectorStore](../../../api/classes/PGVectorStore.md): An open-source vector store built on PostgreSQL, see [pgvector Github](https://github.com/pgvector/pgvector)
-- [PineconeVectorStore](../../../api/classes/PineconeVectorStore.md): A managed, cloud-native vector database, see [pinecone.io](https://www.pinecone.io/)
-- [WeaviateVectorStore](../../../api/classes/WeaviateVectorStore.md): An open-source, ai-native vector database, see [weaviate.io](https://weaviate.io/)
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## API Reference
-
-- [VectorStoreBase](../../../api/classes/VectorStoreBase.md)

apps/docs/docs/modules/documents_and_nodes/_category_.yml

@@ -1,2 +0,0 @@
-label: "Document / Nodes"
-position: 0

apps/docs/docs/modules/embeddings/_category_.yml

@@ -1,2 +0,0 @@
-label: "Embeddings"
-position: 6

apps/docs/docs/modules/embeddings/available_embeddings/_category_.yml

@@ -1 +0,0 @@
-label: "Available Embeddings"

apps/docs/docs/modules/embeddings/available_embeddings/mistral.md

@@ -1,28 +0,0 @@
-# MistralAI
-
-To use MistralAI embeddings, you need to import `MistralAIEmbedding` from `llamaindex`.
-
-```ts
-import { MistralAIEmbedding, Settings } from "llamaindex";
-
-// Update Embed Model
-Settings.embedModel = new MistralAIEmbedding({
-  apiKey: "<YOUR_API_KEY>",
-});
-
-const document = new Document({ text: essay, id_: "essay" });
-
-const index = await VectorStoreIndex.fromDocuments([document]);
-
-const queryEngine = index.asQueryEngine();
-
-const query = "What is the meaning of life?";
-
-const results = await queryEngine.query({
-  query,
-});
-```
-
-## API Reference
-
-- [MistralAIEmbedding](../../../api/classes/MistralAIEmbedding.md)

apps/docs/docs/modules/embeddings/available_embeddings/openai.md

@@ -1,25 +0,0 @@
-# OpenAI
-
-To use OpenAI embeddings, you need to import `OpenAIEmbedding` from `llamaindex`.
-
-```ts
-import { OpenAIEmbedding, Settings } from "llamaindex";
-
-Settings.embedModel = new OpenAIEmbedding();
-
-const document = new Document({ text: essay, id_: "essay" });
-
-const index = await VectorStoreIndex.fromDocuments([document]);
-
-const queryEngine = index.asQueryEngine();
-
-const query = "What is the meaning of life?";
-
-const results = await queryEngine.query({
-  query,
-});
-```
-
-## API Reference
-
-- [OpenAIEmbedding](../../../api/classes/OpenAIEmbedding.md)

apps/docs/docs/modules/embeddings/index.md

@@ -1,31 +0,0 @@
-# Embedding
-
-The embedding model in LlamaIndex is responsible for creating numerical representations of text. By default, LlamaIndex will use the `text-embedding-ada-002` model from OpenAI.
-
-This can be explicitly updated through `Settings`
-
-```typescript
-import { OpenAIEmbedding, Settings } from "llamaindex";
-
-Settings.embedModel = new OpenAIEmbedding({
-  model: "text-embedding-ada-002",
-});
-```
-
-## Local Embedding
-
-For local embeddings, you can use the [HuggingFace](./available_embeddings/huggingface.md) embedding model.
-
-## Available Embeddings
-
-Most available embeddings are listed in the sidebar on the left.
-Additionally the following integrations exist without separate documentation:
-
-- [ClipEmbedding](../../api/classes/ClipEmbedding.md) using `@xenova/transformers`
-- [FireworksEmbedding](../../api/classes/FireworksEmbedding.md) see [fireworks.ai](https://fireworks.ai/)
-
-Check the [LlamaIndexTS Github](https://github.com/run-llama/LlamaIndexTS) for the most up to date overview of integrations.
-
-## API Reference
-
-- [OpenAIEmbedding](../../api/classes/OpenAIEmbedding.md)

apps/docs/docs/modules/evaluation/_category_.yml

@@ -1,2 +0,0 @@
-label: "Evaluating"
-position: 9

apps/docs/docs/modules/evaluation/modules/_category_.yml

@@ -1 +0,0 @@
-label: "Modules"

apps/docs/docs/modules/ingestion_pipeline/_category_.yml

@@ -1,2 +0,0 @@
-label: "Ingestion Pipeline"
-position: 4

apps/docs/docs/modules/llms/_category_.yml

@@ -1,2 +0,0 @@
-label: "LLMs"
-position: 5

apps/docs/docs/modules/llms/available_llms/_category_.yml

@@ -1 +0,0 @@
-label: "Available LLMs"

apps/docs/docs/modules/node_postprocessors/_category_.yml

@@ -1,2 +0,0 @@
-label: "Node Postprocessors"
-position: 3

apps/docs/docs/modules/prompt/_category_.yml

@@ -1,2 +0,0 @@
-label: "Prompts"
-position: 7

apps/docs/docs/modules/query_engines/_category_.yml

@@ -1,2 +0,0 @@
-label: "Query Engines"
-position: 8

apps/docs/docs/modules/retriever.md

@@ -1,23 +0,0 @@
----
-sidebar_position: 14
----
-
-# Retriever
-
-A retriever in LlamaIndex is what is used to fetch `Node`s from an index using a query string.
-
-- [VectorIndexRetriever](../api/classes/VectorIndexRetriever.md) will fetch the top-k most similar nodes. Ideal for dense retrieval to find most relevant nodes.
-- [SummaryIndexRetriever](../api/classes/SummaryIndexRetriever.md) will fetch all nodes no matter the query. Ideal when complete context is necessary, e.g. analyzing large datasets.
-- [SummaryIndexLLMRetriever](../api/classes/SummaryIndexLLMRetriever.md) utilizes an LLM to score and filter nodes based on relevancy to the query.
-- [KeywordTableLLMRetriever](../api/classes/KeywordTableLLMRetriever.md) uses an LLM to extract keywords from the query and retrieve relevant nodes based on keyword matches.
-- [KeywordTableSimpleRetriever](../api/classes/KeywordTableSimpleRetriever.md) uses a basic frequency-based approach to extract keywords and retrieve nodes.
-- [KeywordTableRAKERetriever](../api/classes/KeywordTableRAKERetriever.md) uses the RAKE (Rapid Automatic Keyword Extraction) algorithm to extract keywords from the query, focusing on co-occurrence and context for keyword-based retrieval.
-
-```typescript
-const retriever = vectorIndex.asRetriever({
-  similarityTopK: 3,
-});
-
-// Fetch nodes!
-const nodesWithScore = await retriever.retrieve({ query: "query string" });
-```

apps/docs/docs/modules/workflows.mdx

@@ -1,168 +0,0 @@
-import CodeBlock from "@theme/CodeBlock";
-import CodeSource from "!raw-loader!../../../../examples/workflow/joke.ts";
-
-# Workflows
-
-A `Workflow` in LlamaIndexTS is an event-driven abstraction used to chain together several events. Workflows are made up of `steps`, with each step responsible for handling certain event types and emitting new events.
-
-Workflows in LlamaIndexTS work by defining step functions that handle specific event types and emit new events.
-
-When a step function is added to a workflow, you need to specify the input and optionally the output event types (used for validation). The specification of the input events ensures each step only runs when an accepted event is ready.
-
-You can create a `Workflow` to do anything! Build an agent, a RAG flow, an extraction flow, or anything else you want.
-
-## Getting Started
-
-As an illustrative example, let's consider a naive workflow where a joke is generated and then critiqued.
-
-<CodeBlock language="ts">{CodeSource}</CodeBlock>
-
-There's a few moving pieces here, so let's go through this piece by piece.
-
-### Defining Workflow Events
-
-```typescript
-export class JokeEvent extends WorkflowEvent<{ joke: string }> {}
-```
-
-Events are user-defined classes that extend `WorkflowEvent` and contain arbitrary data provided as template argument. In this case, our workflow relies on a single user-defined event, the `JokeEvent` with a `joke` attribute of type `string`.
-
-### Setting up the Workflow Class
-
-```typescript
-const llm = new OpenAI();
-...
-const jokeFlow = new Workflow({ verbose: true });
-```
-
-Our workflow is implemented by initiating the `Workflow` class. For simplicity, we created a `OpenAI` llm instance.
-
-### Workflow Entry Points
-
-```typescript
-const generateJoke = async (_context: Context, ev: StartEvent) => {
-  const prompt = `Write your best joke about ${ev.data.input}.`;
-  const response = await llm.complete({ prompt });
-  return new JokeEvent({ joke: response.text });
-};
-```
-
-Here, we come to the entry-point of our workflow. While events are user-defined, there are two special-case events, the `StartEvent` and the `StopEvent`. Here, the `StartEvent` signifies where to send the initial workflow input.
-
-The `StartEvent` is a bit of a special object since it can hold arbitrary attributes. Here, we accessed the topic with `ev.data.input`.
-
-At this point, you may have noticed that we haven't explicitly told the workflow what events are handled by which steps.
-
-To do so, we use the `addStep` method which adds a step to the workflow. The first argument is the event type that the step will handle, and the second argument is the previously defined step function:
-
-```typescript
-jokeFlow.addStep(StartEvent, generateJoke);
-```
-
-### Workflow Exit Points
-
-```typescript
-const critiqueJoke = async (_context: Context, ev: JokeEvent) => {
-  const prompt = `Give a thorough critique of the following joke: ${ev.data.joke}`;
-  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
-};
-```
-
-Here, we have our second, and last step, in the workflow. We know its the last step because the special `StopEvent` is returned. When the workflow encounters a returned `StopEvent`, it immediately stops the workflow and returns whatever the result was.
-
-In this case, the result is a string, but it could be a map, array, or any other object.
-
-Don't forget to add the step to the workflow:
-
-```typescript
-jokeFlow.addStep(JokeEvent, critiqueJoke);
-```
-
-### Running the Workflow
-
-```typescript
-const result = await jokeFlow.run("pirates");
-console.log(result.data.result);
-```
-
-Lastly, we run the workflow. The `.run()` method is async, so we use await here to wait for the result.
-
-### Validating Workflows
-
-To tell the workflow what events are produced by each step, you can optionally provide a third argument to `addStep` to specify the output event type:
-
-```typescript
-jokeFlow.addStep(StartEvent, generateJoke, { outputs: JokeEvent });
-jokeFlow.addStep(JokeEvent, critiqueJoke, { outputs: StopEvent });
-```
-
-To validate a workflow, you need to call the `validate` method:
-
-```typescript
-jokeFlow.validate();
-```
-
-To automatically validate a workflow when you run it, you can set the `validate` flag to `true` at initialization:
-
-```typescript
-const jokeFlow = new Workflow({ verbose: true, validate: true });
-```
-
-## Working with Global Context/State
-
-Optionally, you can choose to use global context between steps. For example, maybe multiple steps access the original `query` input from the user. You can store this in global context so that every step has access.
-
-```typescript
-import { Context } from "@llamaindex/core/workflow";
-
-const query = async (context: Context, ev: MyEvent) => {
-  // get the query from the context
-  const query = context.get("query");
-  // do something with context and event
-  const val = ...
-  const result = ...
-  // store in context
-  context.set("key", val);
-
-  return new StopEvent({ result });
-};
-```
-
-## Waiting for Multiple Events
-
-The context does more than just hold data, it also provides utilities to buffer and wait for multiple events.
-
-For example, you might have a step that waits for a query and retrieved nodes before synthesizing a response:
-
-```typescript
-const synthesize = async (context: Context, ev: QueryEvent | RetrieveEvent) => {
-  const events = context.collectEvents(ev, [QueryEvent | RetrieveEvent]);
-  if (!events) {
-    return;
-  }
-  const prompt = events
-    .map((event) => {
-      if (event instanceof QueryEvent) {
-        return `Answer this query using the context provided: ${event.data.query}`;
-      } else if (event instanceof RetrieveEvent) {
-        return `Context: ${event.data.context}`;
-      }
-      return "";
-    })
-    .join("\n");
-
-  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
-};
-```
-
-Using `ctx.collectEvents()` we can buffer and wait for ALL expected events to arrive. This function will only return events (in the requested order) once all events have arrived.
-
-## Manually Triggering Events
-
-Normally, events are triggered by returning another event during a step. However, events can also be manually dispatched using the `ctx.sendEvent(event)` method within a workflow.
-
-## Examples
-
-You can find many useful examples of using workflows in the [examples folder](https://github.com/run-llama/LlamaIndexTS/blob/main/examples/workflow).

apps/docs/docs/observability/_category_.yml

@@ -1,2 +0,0 @@
-label: Observability
-position: 5

apps/docs/docs/observability/index.md

@@ -1,64 +0,0 @@
-# Observability
-
-LlamaIndex provides **one-click observability** 🔭 to allow you to build principled LLM applications in a production setting.
-
-A key requirement for principled development of LLM applications over your data (RAG systems, agents) is being able to observe, debug, and evaluate
-your system - both as a whole and for each component.
-
-This feature allows you to seamlessly integrate the LlamaIndex library with powerful observability/evaluation tools offered by our partners.
-Configure a variable once, and you'll be able to do things like the following:
-
-- View LLM/prompt inputs/outputs
-- Ensure that the outputs of any component (LLMs, embeddings) are performing as expected
-- View call traces for both indexing and querying
-
-Each provider has similarities and differences. Take a look below for the full set of guides for each one!
-
-- [OpenLLMetry](#openllmetry)
-- [Langtrace](#langtrace)
-
-## OpenLLMetry
-
-[OpenLLMetry](https://github.com/traceloop/openllmetry-js) is an open-source project based on OpenTelemetry for tracing and monitoring
-LLM applications. It connects to [all major observability platforms](https://www.traceloop.com/docs/openllmetry/integrations/introduction) and installs in minutes.
-
-### Usage Pattern
-
-```bash
-npm install @traceloop/node-server-sdk
-```
-
-```js
-import * as traceloop from "@traceloop/node-server-sdk";
-
-traceloop.initialize({
-  apiKey: process.env.TRACELOOP_API_KEY,
-  disableBatch: true,
-});
-```
-
-## Langtrace
-
-Enhance your observability with Langtrace, a robust open-source tool supports OpenTelemetry and is designed to trace, evaluate, and manage LLM applications seamlessly. Langtrace integrates directly with LlamaIndex, offering detailed, real-time insights into performance metrics such as accuracy, evaluations, and latency.
-
-#### Install
-
-- Self-host or sign-up and generate an API key using [Langtrace](https://www.langtrace.ai) Cloud
-
-```bash
-npm install @langtrase/typescript-sdk
-```
-
-#### Initialize
-
-```js
-import * as Langtrace from "@langtrase/typescript-sdk";
-Langtrace.init({ api_key: "<YOUR_API_KEY>" });
-```
-
-Features:
-
-- OpenTelemetry compliant, ensuring broad compatibility with observability platforms.
-- Provides comprehensive logs and detailed traces of all components.
-- Real-time monitoring of accuracy, evaluations, usage, costs, and latency.
-- For more configuration options and details, visit [Langtrace Docs](https://docs.langtrace.ai/introduction).

apps/docs/docs/recipes/_category_.yml

@@ -1,2 +0,0 @@
-label: Recipes
-position: 3

apps/docs/docusaurus.config.js

@@ -1,162 +0,0 @@
-// @ts-check
-// Note: type annotations allow type checking and IDEs autocompletion
-
-const renderer = require("prism-react-renderer");
-const lightCodeTheme = renderer.themes.github;
-const darkCodeTheme = renderer.themes.dracula;
-
-/** @type {import('@docusaurus/types').Config} */
-const config = {
-  title: "LlamaIndex.TS",
-  tagline: "Unleash the power of LLMs over your data in TypeScript",
-  favicon: "img/favicon.png",
-
-  // Set the production url of your site here
-  url: "https://ts.llamaindex.ai",
-  // Set the /<baseUrl>/ pathname under which your site is served
-  // For GitHub pages deployment, it is often '/<projectName>/'
-  baseUrl: "/",
-
-  // GitHub pages deployment config.
-  // If you aren't using GitHub pages, you don't need these.
-  organizationName: "run-llama", // Usually your GitHub org/user name.
-  projectName: "LlamaIndex.TS", // Usually your repo name.
-
-  onBrokenLinks: "warn",
-  onBrokenMarkdownLinks: "warn",
-
-  presets: [
-    [
-      "@docusaurus/preset-classic",
-      /** @type {import('@docusaurus/preset-classic').Options} */
-      ({
-        docs: {
-          path: "docs",
-          routeBasePath: "/",
-          sidebarPath: require.resolve("./sidebars.js"),
-          // Please change this to your repo.
-          // Remove this to remove the "edit this page" links.
-          // editUrl:
-          //   "https://github.com/facebook/docusaurus/tree/main/packages/create-docusaurus/templates/shared/",
-          remarkPlugins: [
-            [require("@docusaurus/remark-plugin-npm2yarn"), { sync: true }],
-          ],
-        },
-        blog: {
-          blogTitle: "LlamaIndexTS blog",
-          blogDescription: "The official blog of LlamaIndexTS",
-          postsPerPage: "ALL",
-        },
-        gtag: {
-          trackingID: "G-NB9B8LW9W5",
-          anonymizeIP: true,
-        },
-      }),
-    ],
-  ],
-
-  themeConfig:
-    /** @type {import('@docusaurus/preset-classic').ThemeConfig} */
-    ({
-      // Replace with your project's social card
-      image: "img/favicon.png", // TODO change this
-      navbar: {
-        title: "LlamaIndex.TS",
-        logo: {
-          alt: "LlamaIndex.TS",
-          src: "img/favicon.png",
-        },
-        items: [
-          {
-            type: "docSidebar",
-            sidebarId: "mySidebar",
-            position: "left",
-            label: "Docs",
-          },
-          {
-            type: "localeDropdown",
-            position: "left",
-          },
-          { to: "blog", label: "Blog", position: "right" },
-          {
-            href: "https://github.com/run-llama/LlamaIndexTS",
-            label: "GitHub",
-            position: "right",
-          },
-        ],
-      },
-      footer: {
-        style: "dark",
-        links: [
-          {
-            title: "Docs",
-            items: [
-              {
-                label: "API",
-                to: "/api",
-              },
-            ],
-          },
-          {
-            title: "Community",
-            items: [
-              {
-                label: "Discord",
-                href: "https://discord.com/invite/eN6D2HQ4aX",
-              },
-              {
-                label: "Twitter",
-                href: "https://twitter.com/LlamaIndex",
-              },
-            ],
-          },
-          {
-            title: "More",
-            items: [
-              {
-                label: "GitHub",
-                href: "https://github.com/run-llama/LlamaIndexTS",
-              },
-            ],
-          },
-        ],
-        copyright: `Copyright © ${new Date().getFullYear()} LlamaIndex. Built with Docusaurus.`,
-      },
-      prism: {
-        theme: lightCodeTheme,
-        darkTheme: darkCodeTheme,
-      },
-      algolia: {
-        // The application ID provided by Algolia
-        appId: "DYKPM6G4CX",
-
-        // Public API key: it is safe to commit it
-        apiKey: "c4ff3789f20bb72a5d735082aef17719",
-
-        indexName: "ts-llamaindex",
-
-        // Optional: see doc section below
-        contextualSearch: true,
-      },
-    }),
-  plugins: [
-    [
-      "docusaurus-plugin-typedoc",
-      {
-        entryPoints: ["../../packages/llamaindex/src/index.ts"],
-        tsconfig: "../../tsconfig.json",
-        readme: "none",
-        sourceLinkTemplate:
-          "https://github.com/run-llama/LlamaIndexTS/blob/{gitRevision}/{path}#L{line}",
-        sidebar: {
-          position: 6,
-        },
-      },
-    ],
-  ],
-  markdown: {
-    format: "detect",
-  },
-};
-
-module.exports = config;

apps/docs/package.json

@@ -1,57 +0,0 @@
-{
-  "name": "docs",
-  "version": "0.0.100",
-  "private": true,
-  "scripts": {
-    "docusaurus": "docusaurus",
-    "start": "docusaurus start",
-    "build": "docusaurus build",
-    "swizzle": "docusaurus swizzle",
-    "deploy": "docusaurus deploy",
-    "clear": "docusaurus clear",
-    "serve": "docusaurus serve",
-    "write-translations": "docusaurus write-translations",
-    "write-heading-ids": "docusaurus write-heading-ids",
-    "typecheck": "tsc"
-  },
-  "dependencies": {
-    "@docusaurus/core": "3.5.2",
-    "@docusaurus/remark-plugin-npm2yarn": "3.5.2",
-    "@llamaindex/examples": "workspace:*",
-    "@mdx-js/react": "3.0.1",
-    "clsx": "2.1.1",
-    "llamaindex": "workspace:*",
-    "postcss": "8.4.41",
-    "prism-react-renderer": "2.4.0",
-    "raw-loader": "4.0.2",
-    "react": "18.3.1",
-    "react-dom": "18.3.1"
-  },
-  "devDependencies": {
-    "@docusaurus/module-type-aliases": "3.5.2",
-    "@docusaurus/preset-classic": "3.5.2",
-    "@docusaurus/theme-classic": "3.5.2",
-    "@docusaurus/types": "3.5.2",
-    "@tsconfig/docusaurus": "2.0.3",
-    "@types/node": "^22.5.1",
-    "docusaurus-plugin-typedoc": "1.0.5",
-    "typedoc": "0.26.6",
-    "typedoc-plugin-markdown": "4.2.6",
-    "typescript": "^5.6.2"
-  },
-  "browserslist": {
-    "production": [
-      ">0.5%",
-      "not dead",
-      "not op_mini all"
-    ],
-    "development": [
-      "last 1 chrome version",
-      "last 1 firefox version",
-      "last 1 safari version"
-    ]
-  },
-  "engines": {
-    "node": ">=18"
-  }
-}

apps/docs/sidebars.js

@@ -1,33 +0,0 @@
-/**
- * Creating a sidebar enables you to:
- - create an ordered group of docs
- - render a sidebar for each doc of that group
- - provide next/previous navigation
-
- The sidebars can be generated from the filesystem, or explicitly defined here.
-
- Create as many sidebars as you want.
- */
-
-// @ts-check
-
-/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
-const sidebars = {
-  // By default, Docusaurus generates a sidebar from the docs folder structure
-  mySidebar: [{ type: "autogenerated", dirName: "." }],
-
-  // But you can create a sidebar manually
-  /*
-  tutorialSidebar: [
-    'intro',
-    'hello',
-    {
-      type: 'category',
-      label: 'Tutorial',
-      items: ['tutorial-basics/create-a-document'],
-    },
-  ],
-   */
-};
-
-module.exports = sidebars;

apps/docs/src/components/HomepageFeatures/index.tsx

@@ -1,59 +0,0 @@
-import clsx from "clsx";
-import React from "react";
-import styles from "./styles.module.css";
-
-type FeatureItem = {
-  title: string;
-  Svg: React.ComponentType<React.ComponentProps<"svg">>;
-  description: JSX.Element;
-};
-
-const FeatureList: FeatureItem[] = [
-  {
-    title: "Data Driven",
-    Svg: require("@site/static/img/undraw_docusaurus_mountain.svg").default,
-    description: <>LlamaIndex.TS is all about using your data with LLMs.</>,
-  },
-  {
-    title: "Typescript Native",
-    Svg: require("@site/static/img/undraw_docusaurus_tree.svg").default,
-    description: <>We ❤️ Typescript, and so do our users.</>,
-  },
-  {
-    title: "Built by the Community",
-    Svg: require("@site/static/img/undraw_docusaurus_react.svg").default,
-    description: (
-      <>
-        LlamaIndex.TS is a community project, and we welcome your contributions!
-      </>
-    ),
-  },
-];
-
-function Feature({ title, Svg, description }: FeatureItem) {
-  return (
-    <div className={clsx("col col--4")}>
-      <div className="text--center">
-        <Svg className={styles.featureSvg} role="img" />
-      </div>
-      <div className="text--center padding-horiz--md">
-        <h3>{title}</h3>
-        <p>{description}</p>
-      </div>
-    </div>
-  );
-}
-
-export default function HomepageFeatures(): JSX.Element {
-  return (
-    <section className={styles.features}>
-      <div className="container">
-        <div className="row">
-          {FeatureList.map((props, idx) => (
-            <Feature key={idx} {...props} />
-          ))}
-        </div>
-      </div>
-    </section>
-  );
-}

apps/docs/src/components/HomepageFeatures/styles.module.css

@@ -1,11 +0,0 @@
-.features {
-  display: flex;
-  align-items: center;
-  padding: 2rem 0;
-  width: 100%;
-}
-
-.featureSvg {
-  height: 200px;
-  width: 200px;
-}

apps/docs/src/css/custom.css

@@ -1,30 +0,0 @@
-/**
- * Any CSS included here will be global. The classic template
- * bundles Infima by default. Infima is a CSS framework designed to
- * work well for content-centric websites.
- */
-
-/* You can override the default Infima variables here. */
-:root {
-  --ifm-color-primary: #2e8555;
-  --ifm-color-primary-dark: #29784c;
-  --ifm-color-primary-darker: #277148;
-  --ifm-color-primary-darkest: #205d3b;
-  --ifm-color-primary-light: #33925d;
-  --ifm-color-primary-lighter: #359962;
-  --ifm-color-primary-lightest: #3cad6e;
-  --ifm-code-font-size: 95%;
-  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
-}
-
-/* For readability concerns, you should choose a lighter palette in dark mode. */
-[data-theme="dark"] {
-  --ifm-color-primary: #25c2a0;
-  --ifm-color-primary-dark: #21af90;
-  --ifm-color-primary-darker: #1fa588;
-  --ifm-color-primary-darkest: #1a8870;
-  --ifm-color-primary-light: #29d5b0;
-  --ifm-color-primary-lighter: #32d8b4;
-  --ifm-color-primary-lightest: #4fddbf;
-  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
-}

apps/docs/src/pages/index.module.css

@@ -1,23 +0,0 @@
-/**
- * CSS files with the .module.css suffix will be treated as CSS modules
- * and scoped locally.
- */
-
-.heroBanner {
-  padding: 4rem 0;
-  text-align: center;
-  position: relative;
-  overflow: hidden;
-}
-
-@media screen and (max-width: 996px) {
-  .heroBanner {
-    padding: 2rem;
-  }
-}
-
-.buttons {
-  display: flex;
-  align-items: center;
-  justify-content: center;
-}

apps/docs/src/pages/markdown-page.md

@@ -1,7 +0,0 @@
----
-title: Markdown page example
----
-
-# Markdown page example
-
-You don't need React to write simple standalone pages.

apps/docs/static/img/logo.svg

@@ -1,37 +0,0 @@
-<svg width="200" height="200" viewBox="0 0 200 200" xmlns="http://www.w3.org/2000/svg">
-  <g fill="none" fill-rule="evenodd">
-    <path fill="#FFF" d="M99 52h84v34H99z" />
-    <path
-      d="M23 163c-7.398 0-13.843-4.027-17.303-10A19.886 19.886 0 0 0 3 163c0 11.046 8.954 20 20 20h20v-20H23z"
-      fill="#3ECC5F" />
-    <path
-      d="M112.98 57.376L183 53V43c0-11.046-8.954-20-20-20H73l-2.5-4.33c-1.112-1.925-3.889-1.925-5 0L63 23l-2.5-4.33c-1.111-1.925-3.889-1.925-5 0L53 23l-2.5-4.33c-1.111-1.925-3.889-1.925-5 0L43 23c-.022 0-.042.003-.065.003l-4.142-4.141c-1.57-1.571-4.252-.853-4.828 1.294l-1.369 5.104-5.192-1.392c-2.148-.575-4.111 1.389-3.535 3.536l1.39 5.193-5.102 1.367c-2.148.576-2.867 3.259-1.296 4.83l4.142 4.142c0 .021-.003.042-.003.064l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 53l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 63l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 73l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 83l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 93l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 103l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 113l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 123l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 133l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 143l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 153l-4.33 2.5c-1.925 1.111-1.925 3.889 0 5L23 163c0 11.046 8.954 20 20 20h120c11.046 0 20-8.954 20-20V83l-70.02-4.376A10.645 10.645 0 0 1 103 68c0-5.621 4.37-10.273 9.98-10.624"
-      fill="#3ECC5F" />
-    <path fill="#3ECC5F" d="M143 183h30v-40h-30z" />
-    <path
-      d="M193 158c-.219 0-.428.037-.639.064-.038-.15-.074-.301-.116-.451A5 5 0 0 0 190.32 148a4.96 4.96 0 0 0-3.016 1.036 26.531 26.531 0 0 0-.335-.336 4.955 4.955 0 0 0 1.011-2.987 5 5 0 0 0-9.599-1.959c-.148-.042-.297-.077-.445-.115.027-.211.064-.42.064-.639a5 5 0 0 0-5-5 5 5 0 0 0-5 5c0 .219.037.428.064.639-.148.038-.297.073-.445.115a4.998 4.998 0 0 0-9.599 1.959c0 1.125.384 2.151 1.011 2.987-3.717 3.632-6.031 8.693-6.031 14.3 0 11.046 8.954 20 20 20 9.339 0 17.16-6.41 19.361-15.064.211.027.42.064.639.064a5 5 0 0 0 5-5 5 5 0 0 0-5-5"
-      fill="#44D860" />
-    <path fill="#3ECC5F" d="M153 123h30v-20h-30z" />
-    <path
-      d="M193 115.5a2.5 2.5 0 1 0 0-5c-.109 0-.214.019-.319.032-.02-.075-.037-.15-.058-.225a2.501 2.501 0 0 0-.963-4.807c-.569 0-1.088.197-1.508.518a6.653 6.653 0 0 0-.168-.168c.314-.417.506-.931.506-1.494a2.5 2.5 0 0 0-4.8-.979A9.987 9.987 0 0 0 183 103c-5.522 0-10 4.478-10 10s4.478 10 10 10c.934 0 1.833-.138 2.69-.377a2.5 2.5 0 0 0 4.8-.979c0-.563-.192-1.077-.506-1.494.057-.055.113-.111.168-.168.42.321.939.518 1.508.518a2.5 2.5 0 0 0 .963-4.807c.021-.074.038-.15.058-.225.105.013.21.032.319.032"
-      fill="#44D860" />
-    <path
-      d="M63 55.5a2.5 2.5 0 0 1-2.5-2.5c0-4.136-3.364-7.5-7.5-7.5s-7.5 3.364-7.5 7.5a2.5 2.5 0 1 1-5 0c0-6.893 5.607-12.5 12.5-12.5S65.5 46.107 65.5 53a2.5 2.5 0 0 1-2.5 2.5"
-      fill="#000" />
-    <path d="M103 183h60c11.046 0 20-8.954 20-20V93h-60c-11.046 0-20 8.954-20 20v70z" fill="#FFFF50" />
-    <path
-      d="M168.02 124h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2m0 20h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2m0 20h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2m0-49.814h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2m0 19.814h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2m0 20h-50.04a1 1 0 1 1 0-2h50.04a1 1 0 1 1 0 2M183 61.611c-.012 0-.022-.006-.034-.005-3.09.105-4.552 3.196-5.842 5.923-1.346 2.85-2.387 4.703-4.093 4.647-1.889-.068-2.969-2.202-4.113-4.46-1.314-2.594-2.814-5.536-5.963-5.426-3.046.104-4.513 2.794-5.807 5.167-1.377 2.528-2.314 4.065-4.121 3.994-1.927-.07-2.951-1.805-4.136-3.813-1.321-2.236-2.848-4.75-5.936-4.664-2.994.103-4.465 2.385-5.763 4.4-1.373 2.13-2.335 3.428-4.165 3.351-1.973-.07-2.992-1.51-4.171-3.177-1.324-1.873-2.816-3.993-5.895-3.89-2.928.1-4.399 1.97-5.696 3.618-1.232 1.564-2.194 2.802-4.229 2.724a1 1 0 0 0-.072 2c3.017.101 4.545-1.8 5.872-3.487 1.177-1.496 2.193-2.787 4.193-2.855 1.926-.082 2.829 1.115 4.195 3.045 1.297 1.834 2.769 3.914 5.731 4.021 3.103.104 4.596-2.215 5.918-4.267 1.182-1.834 2.202-3.417 4.15-3.484 1.793-.067 2.769 1.35 4.145 3.681 1.297 2.197 2.766 4.686 5.787 4.796 3.125.108 4.634-2.62 5.949-5.035 1.139-2.088 2.214-4.06 4.119-4.126 1.793-.042 2.728 1.595 4.111 4.33 1.292 2.553 2.757 5.445 5.825 5.556l.169.003c3.064 0 4.518-3.075 5.805-5.794 1.139-2.41 2.217-4.68 4.067-4.773v-2z"
-      fill="#000" />
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-    <path
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-      fill="#44D860" />
-    <path fill="#3ECC5F" d="M83 123h40v-20H83z" />
-    <path
-      d="M133 115.5a2.5 2.5 0 1 0 0-5c-.109 0-.214.019-.319.032-.02-.075-.037-.15-.058-.225a2.501 2.501 0 0 0-.963-4.807c-.569 0-1.088.197-1.508.518a6.653 6.653 0 0 0-.168-.168c.314-.417.506-.931.506-1.494a2.5 2.5 0 0 0-4.8-.979A9.987 9.987 0 0 0 123 103c-5.522 0-10 4.478-10 10s4.478 10 10 10c.934 0 1.833-.138 2.69-.377a2.5 2.5 0 0 0 4.8-.979c0-.563-.192-1.077-.506-1.494.057-.055.113-.111.168-.168.42.321.939.518 1.508.518a2.5 2.5 0 0 0 .963-4.807c.021-.074.038-.15.058-.225.105.013.21.032.319.032"
-      fill="#44D860" />
-    <path
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-</svg>

apps/docs/tsconfig.json

@@ -1,11 +0,0 @@
-{
-  // This file is not used in compilation. It is here just for a nice editor experience.
-  "extends": "./node_modules/@tsconfig/docusaurus/tsconfig.json",
-  "compilerOptions": {
-    "baseUrl": ".",
-    "composite": true,
-    "incremental": true,
-    "outDir": "./lib",
-    "tsBuildInfoFile": "./lib/.tsbuildinfo"
-  }
-}

apps/next/.gitignore

@@ -29,3 +29,5 @@ next-env.d.ts
 
 # build
 /src/content/docs/cloud/api
+/src/content/docs/api
+./types

apps/next/CHANGELOG.md

@@ -0,0 +1,542 @@
+# @llamaindex/doc
+
+## 0.1.6
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/workflow@0.0.12
+  - @llamaindex/cloud@3.0.6
+  - llamaindex@0.9.6
+  - @llamaindex/node-parser@1.0.5
+  - @llamaindex/openai@0.1.57
+  - @llamaindex/readers@2.0.5
+
+## 0.1.5
+
+### Patch Changes
+
+- Updated dependencies [ad3c7f1]
+  - @llamaindex/core@0.5.4
+  - @llamaindex/cloud@3.0.5
+  - llamaindex@0.9.5
+  - @llamaindex/node-parser@1.0.4
+  - @llamaindex/openai@0.1.56
+  - @llamaindex/readers@2.0.4
+
+## 0.1.4
+
+### Patch Changes
+
+- Updated dependencies [cb256f2]
+- Updated dependencies [cb021e7]
+  - @llamaindex/openai@0.1.55
+  - @llamaindex/core@0.5.3
+  - llamaindex@0.9.4
+  - @llamaindex/cloud@3.0.4
+  - @llamaindex/node-parser@1.0.3
+  - @llamaindex/readers@2.0.3
+
+## 0.1.3
+
+### Patch Changes
+
+- Updated dependencies [d952e68]
+  - @llamaindex/core@0.5.2
+  - @llamaindex/cloud@3.0.3
+  - llamaindex@0.9.3
+  - @llamaindex/node-parser@1.0.2
+  - @llamaindex/openai@0.1.54
+  - @llamaindex/readers@2.0.2
+
+## 0.1.2
+
+### Patch Changes
+
+- Updated dependencies [c902fcb]
+- Updated dependencies [88d776f]
+  - @llamaindex/cloud@3.0.2
+  - llamaindex@0.9.2
+
+## 0.1.1
+
+### Patch Changes
+
+- Updated dependencies [6d37d44]
+  - llamaindex@0.9.1
+  - @llamaindex/cloud@3.0.1
+  - @llamaindex/core@0.5.1
+  - @llamaindex/node-parser@1.0.1
+  - @llamaindex/openai@0.1.53
+  - @llamaindex/readers@2.0.1
+  - @llamaindex/workflow@0.0.11
+
+## 0.1.0
+
+### Minor Changes
+
+- 6a4a737: Remove re-exports from llamaindex main package
+- f4588bc: Remove readers package from llamaindex
+
+### Patch Changes
+
+- c7c0800: fix: fumadoc build fail
+- a87efb9: docs: update chat engine docs
+- 7bd5d93: docs: update workflow doc
+- Updated dependencies [6a4a737]
+- Updated dependencies [d924c63]
+- Updated dependencies [b490376]
+- Updated dependencies [f4588bc]
+  - llamaindex@0.9.0
+  - @llamaindex/core@0.5.0
+  - @llamaindex/cloud@3.0.0
+  - @llamaindex/node-parser@1.0.0
+  - @llamaindex/openai@0.1.52
+  - @llamaindex/readers@2.0.0
+
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [1c908fd]
+  - @llamaindex/openai@0.1.51
+  - @llamaindex/node-parser@0.0.24
+  - @llamaindex/workflow@0.0.10
+  - @llamaindex/readers@1.0.25
+  - @llamaindex/cloud@2.0.24
+  - @llamaindex/core@0.4.23
+  - llamaindex@0.8.37
+
+## 0.0.40
+
+### Patch Changes
+
+- Updated dependencies [cb608b5]
+  - @llamaindex/openai@0.1.50
+  - @llamaindex/node-parser@0.0.23
+  - @llamaindex/workflow@0.0.9
+  - @llamaindex/readers@1.0.24
+  - @llamaindex/cloud@2.0.23
+  - @llamaindex/core@0.4.22
+  - llamaindex@0.8.36
+
+## 0.0.39
+
+### Patch Changes
+
+- 6d4d96f: chore: update examples and docs to use unified imports
+- Updated dependencies [15563a0]
+  - @llamaindex/openai@0.1.49
+  - llamaindex@0.8.35
+
+## 0.0.38
+
+### Patch Changes
+
+- Updated dependencies [9f8ad37]
+- Updated dependencies [7265f74]
+  - llamaindex@0.8.34
+  - @llamaindex/openai@0.1.48
+
+## 0.0.37
+
+### Patch Changes
+
+- Updated dependencies [2019a04]
+  - @llamaindex/openai@0.1.47
+  - llamaindex@0.8.33
+
+## 0.0.36
+
+### Patch Changes
+
+- f02621e: Fix internal links between chapters
+- Updated dependencies [34faf48]
+- Updated dependencies [4df1fe6]
+- Updated dependencies [9456616]
+- Updated dependencies [d6c270e]
+- Updated dependencies [1892e1c]
+- Updated dependencies [1931bbc]
+  - llamaindex@0.8.32
+  - @llamaindex/core@0.4.21
+  - @llamaindex/cloud@2.0.22
+  - @llamaindex/openai@0.1.46
+  - @llamaindex/node-parser@0.0.22
+  - @llamaindex/readers@1.0.23
+
+## 0.0.35
+
+### Patch Changes
+
+- Updated dependencies [5dec9f9]
+- Updated dependencies [fd9c829]
+- Updated dependencies [d211b7a]
+- Updated dependencies [0ebbfc1]
+  - @llamaindex/cloud@2.0.21
+  - llamaindex@0.8.31
+  - @llamaindex/core@0.4.20
+  - @llamaindex/node-parser@0.0.21
+  - @llamaindex/openai@0.1.45
+  - @llamaindex/readers@1.0.22
+
+## 0.0.34
+
+### Patch Changes
+
+- Updated dependencies [012495b]
+  - @llamaindex/cloud@2.0.20
+  - llamaindex@0.8.30
+
+## 0.0.33
+
+### Patch Changes
+
+- Updated dependencies [dd596a0]
+  - llamaindex@0.8.29
+
+## 0.0.32
+
+### Patch Changes
+
+- a9b5b99: feat: build api reference pages for new documentation site
+- Updated dependencies [a9b5b99]
+  - @llamaindex/core@0.4.19
+  - @llamaindex/readers@1.0.21
+  - @llamaindex/cloud@2.0.19
+  - llamaindex@0.8.28
+  - @llamaindex/node-parser@0.0.20
+  - @llamaindex/openai@0.1.44
+
+## 0.0.31
+
+### Patch Changes
+
+- Updated dependencies [b504303]
+- Updated dependencies [e0f6cc3]
+- Updated dependencies [a0e6f57]
+  - llamaindex@0.8.27
+  - @llamaindex/core@0.4.18
+  - @llamaindex/cloud@2.0.18
+  - @llamaindex/node-parser@0.0.19
+  - @llamaindex/openai@0.1.43
+  - @llamaindex/readers@1.0.20
+  - @llamaindex/workflow@0.0.8
+
+## 0.0.30
+
+### Patch Changes
+
+- Updated dependencies [3d1808b]
+  - @llamaindex/core@0.4.17
+  - llamaindex@0.8.26
+  - @llamaindex/openai@0.1.42
+  - @llamaindex/cloud@2.0.17
+  - @llamaindex/node-parser@0.0.18
+  - @llamaindex/readers@1.0.19
+
+## 0.0.29
+
+### Patch Changes
+
+- Updated dependencies [7e8230b]
+- Updated dependencies [8be4589]
+  - @llamaindex/readers@1.0.18
+  - @llamaindex/cloud@2.0.16
+  - @llamaindex/core@0.4.16
+  - @llamaindex/node-parser@0.0.17
+  - @llamaindex/openai@0.1.41
+  - @llamaindex/workflow@0.0.7
+  - llamaindex@0.8.25
+
+## 0.0.28
+
+### Patch Changes
+
+- fd38a25: Add vercel tool adapter to use query engine tool
+
+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.26
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.15
+- @llamaindex/core@0.4.15
+- llamaindex@0.8.23
+- @llamaindex/node-parser@0.0.16
+- @llamaindex/openai@0.1.40
+- @llamaindex/readers@1.0.17
+
+## 0.0.25
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+  - @llamaindex/cloud@2.0.14
+  - @llamaindex/core@0.4.14
+  - @llamaindex/node-parser@0.0.15
+  - @llamaindex/openai@0.1.39
+  - @llamaindex/readers@1.0.16
+
+## 0.0.24
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.22
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - @llamaindex/cloud@2.0.13
+  - @llamaindex/core@0.4.13
+  - llamaindex@0.8.19
+  - @llamaindex/node-parser@0.0.14
+  - @llamaindex/readers@1.0.15
+  - @llamaindex/openai@0.1.38
+
+## 0.0.21
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+- Updated dependencies [ef4f63d]
+  - llamaindex@0.8.18
+  - @llamaindex/core@0.4.12
+  - @llamaindex/cloud@2.0.12
+  - @llamaindex/node-parser@0.0.13
+  - @llamaindex/openai@0.1.37
+  - @llamaindex/readers@1.0.14
+
+## 0.0.20
+
+### Patch Changes
+
+- Updated dependencies [6d22fa2]
+  - @llamaindex/core@0.4.11
+  - @llamaindex/cloud@2.0.11
+  - llamaindex@0.8.17
+  - @llamaindex/node-parser@0.0.12
+  - @llamaindex/openai@0.1.36
+  - @llamaindex/readers@1.0.13
+
+## 0.0.19
+
+### Patch Changes
+
+- Updated dependencies [e60328b]
+  - @llamaindex/readers@1.0.12
+  - llamaindex@0.8.16
+
+## 0.0.18
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.17
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.16
+
+### Patch Changes
+
+- Updated dependencies [a7b0ac3]
+- Updated dependencies [ee20c44]
+- Updated dependencies [c69605f]
+  - @llamaindex/core@0.4.10
+  - @llamaindex/workflow@0.0.6
+  - llamaindex@0.8.13
+  - @llamaindex/cloud@2.0.10
+  - @llamaindex/node-parser@0.0.11
+  - @llamaindex/openai@0.1.35
+  - @llamaindex/readers@1.0.11
+
+## 0.0.15
+
+### Patch Changes
+
+- Updated dependencies [ea92b69]
+- Updated dependencies [fadc8b8]
+  - @llamaindex/workflow@0.0.5
+
+## 0.0.14
+
+### Patch Changes
+
+- Updated dependencies [7ae6eaa]
+  - @llamaindex/core@0.4.9
+  - @llamaindex/openai@0.1.34
+  - @llamaindex/cloud@2.0.9
+  - llamaindex@0.8.12
+  - @llamaindex/node-parser@0.0.10
+  - @llamaindex/readers@1.0.10
+
+## 0.0.13
+
+### Patch Changes
+
+- Updated dependencies [f865c98]
+  - @llamaindex/core@0.4.8
+  - @llamaindex/cloud@2.0.8
+  - llamaindex@0.8.11
+  - @llamaindex/node-parser@0.0.9
+  - @llamaindex/openai@0.1.33
+  - @llamaindex/readers@1.0.9
+
+## 0.0.12
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+- Updated dependencies [d89ebe0]
+- Updated dependencies [fd8c882]
+- Updated dependencies [fd8c882]
+  - llamaindex@0.8.10
+  - @llamaindex/core@0.4.7
+  - @llamaindex/workflow@0.0.4
+  - @llamaindex/cloud@2.0.7
+  - @llamaindex/node-parser@0.0.8
+  - @llamaindex/openai@0.1.32
+  - @llamaindex/readers@1.0.8
+
+## 0.0.11
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+  - @llamaindex/cloud@2.0.6
+  - @llamaindex/core@0.4.6
+  - @llamaindex/node-parser@0.0.7
+  - @llamaindex/openai@0.1.31
+  - @llamaindex/readers@1.0.7
+
+## 0.0.10
+
+### Patch Changes
+
+- Updated dependencies [ad85bd0]
+  - @llamaindex/core@0.4.5
+  - llamaindex@0.8.8
+  - @llamaindex/node-parser@0.0.6
+  - @llamaindex/workflow@0.0.3
+  - @llamaindex/cloud@2.0.5
+  - @llamaindex/openai@0.1.30
+  - @llamaindex/readers@1.0.6
+
+## 0.0.9
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.4
+- @llamaindex/core@0.4.4
+- llamaindex@0.8.7
+- @llamaindex/node-parser@0.0.5
+- @llamaindex/openai@0.1.29
+- @llamaindex/readers@1.0.5
+
+## 0.0.8
+
+### Patch Changes
+
+- Updated dependencies [95a5cc6]
+  - @llamaindex/core@0.4.3
+  - llamaindex@0.8.6
+  - @llamaindex/cloud@2.0.3
+  - @llamaindex/node-parser@0.0.4
+  - @llamaindex/openai@0.1.28
+  - @llamaindex/readers@1.0.4
+
+## 0.0.7
+
+### Patch Changes
+
+- Updated dependencies [14cc9eb]
+- Updated dependencies [a6db5dd]
+- Updated dependencies [396b1e1]
+  - llamaindex@0.8.5
+  - @llamaindex/cloud@2.0.2
+  - @llamaindex/core@0.4.2
+  - @llamaindex/node-parser@0.0.3
+  - @llamaindex/openai@0.1.27
+  - @llamaindex/readers@1.0.3
+
+## 0.0.6
+
+### Patch Changes
+
+- Updated dependencies [35430d3]
+  - llamaindex@0.8.4
+  - @llamaindex/readers@1.0.2
+
+## 0.0.5
+
+### Patch Changes
+
+- Updated dependencies [2ff0a89]
+  - @llamaindex/node-parser@0.0.2
+  - llamaindex@0.8.3
+
+## 0.0.4
+
+### Patch Changes
+
+- Updated dependencies [0765742]
+  - @llamaindex/workflow@0.0.2
+
+## 0.0.3
+
+### Patch Changes
+
+- Updated dependencies [c7a918c]
+  - llamaindex@0.8.2
+
+## 0.0.2
+
+### Patch Changes
+
+- Updated dependencies [9c73f0a]
+  - @llamaindex/core@0.4.1
+  - @llamaindex/cloud@2.0.1
+  - llamaindex@0.8.1
+  - @llamaindex/openai@0.1.26
+  - @llamaindex/readers@1.0.1
+
+## 0.0.1
+
+### Patch Changes
+
+- Updated dependencies [359fd33]
+- Updated dependencies [efb7e1b]
+- Updated dependencies [98ba1e7]
+- Updated dependencies [620c63c]
+  - @llamaindex/core@0.4.0
+  - llamaindex@0.8.0
+  - @llamaindex/cloud@2.0.0
+  - @llamaindex/openai@0.1.25
+  - @llamaindex/readers@1.0.0

apps/next/README.md

@@ -1,4 +1,4 @@
-# next
+# Docs
 
 This is a Next.js application generated with
 [Create Fumadocs](https://github.com/fuma-nama/fumadocs).
@@ -6,15 +6,10 @@ This is a Next.js application generated with
 Run development server:
 
 ```bash
-npm run dev
-# or
-pnpm dev
-# or
-yarn dev
+turbo run dev
+# turbo will build all required packages before running the dev server
 ```
 
-Open http://localhost:3000 with your browser to see the result.
-
 ## Learn More
 
 To learn more about Next.js and Fumadocs, take a look at the following

apps/next/next.config.mjs

@@ -1,10 +1,35 @@
 import { createMDX } from "fumadocs-mdx/next";
-
+import MonacoWebpackPlugin from "monaco-editor-webpack-plugin";
 const withMDX = createMDX();
 
 /** @type {import('next').NextConfig} */
 const config = {
   reactStrictMode: true,
+  transpilePackages: ["monaco-editor"],
+  serverExternalPackages: ["@huggingface/transformers"],
+  webpack: (config, { isServer }) => {
+    if (Array.isArray(config.target) && config.target.includes("web")) {
+      config.target = ["web", "es2020"];
+    }
+
+    config.resolve.alias = {
+      ...config.resolve.alias,
+      sharp$: false,
+      "onnxruntime-node$": false,
+    };
+    config.resolve.fallback ??= {};
+    config.resolve.fallback.fs = false;
+    if (!isServer) {
+      config.plugins.push(
+        new MonacoWebpackPlugin({
+          languages: ["typescript"],
+          filename: "static/[name].worker.js",
+        }),
+      );
+    }
+    config.resolve.alias["replicate"] = false;
+    return config;
+  },
 };
 
 export default withMDX(config);

apps/next/package.json

@@ -1,45 +1,93 @@
 {
   "name": "@llamaindex/doc",
-  "version": "0.0.0",
+  "version": "0.1.6",
   "private": true,
   "scripts": {
     "build": "pnpm run build:docs && next build",
     "dev": "next dev",
     "start": "next start",
-    "postinstall": "fumadocs-mdx",
-    "build:docs": "node ./scripts/generate-docs.mjs"
+    "postdev": "fumadocs-mdx",
+    "postbuild": "fumadocs-mdx && tsx scripts/post-build.mts",
+    "build:docs": "cross-env NODE_OPTIONS=\"--max-old-space-size=8192\" typedoc && node ./scripts/generate-docs.mjs"
   },
   "dependencies": {
     "@icons-pack/react-simple-icons": "^10.1.0",
-    "@radix-ui/react-icons": "^1.3.0",
+    "@llamaindex/chat-ui": "0.0.9",
+    "@llamaindex/cloud": "workspace:*",
+    "@llamaindex/core": "workspace:*",
+    "@llamaindex/node-parser": "workspace:*",
+    "@llamaindex/openai": "workspace:*",
+    "@llamaindex/readers": "workspace:*",
+    "@llamaindex/workflow": "workspace:*",
+    "@mdx-js/mdx": "^3.1.0",
+    "@number-flow/react": "^0.3.4",
+    "@radix-ui/react-dialog": "^1.1.2",
+    "@radix-ui/react-icons": "^1.3.2",
+    "@radix-ui/react-label": "^2.1.0",
+    "@radix-ui/react-slider": "^1.2.1",
     "@radix-ui/react-slot": "^1.1.0",
+    "@radix-ui/react-tooltip": "^1.1.4",
+    "@vercel/functions": "^1.5.0",
+    "@scalar/api-client-react": "^1.1.25",
+    "ai": "^3.4.33",
     "class-variance-authority": "^0.7.0",
     "clsx": "2.1.1",
-    "foxact": "^0.2.39",
-    "fumadocs-core": "14.0.2",
-    "fumadocs-mdx": "11.0.0",
-    "fumadocs-openapi": "^5.5.3",
-    "fumadocs-ui": "14.0.2",
+    "foxact": "^0.2.41",
+    "framer-motion": "^11.11.17",
+    "fumadocs-core": "^14.7.7",
+    "fumadocs-docgen": "^1.3.7",
+    "fumadocs-mdx": "^11.5.3",
+    "fumadocs-openapi": "^5.12.0",
+    "fumadocs-twoslash": "^2.0.3",
+    "fumadocs-typescript": "^3.0.3",
+    "fumadocs-ui": "^14.7.7",
     "hast-util-to-jsx-runtime": "^2.3.2",
-    "lucide-react": "^0.436.0",
-    "next": "15.0.0",
-    "react": "^18.3.1",
-    "react-dom": "^18.3.1",
+    "llamaindex": "workspace:*",
+    "lucide-react": "^0.460.0",
+    "next": "15.1.7",
+    "next-themes": "^0.4.3",
+    "react": "^19.0.0",
+    "react-dom": "^19.0.0",
     "react-icons": "^5.3.0",
+    "react-monaco-editor": "^0.56.2",
     "react-text-transition": "^3.1.0",
+    "react-use-measure": "^2.1.1",
+    "rehype-katex": "^7.0.1",
+    "remark-math": "^6.0.0",
     "rimraf": "^6.0.1",
-    "shiki": "^1.22.0",
+    "shiki": "^2.3.2",
+    "shiki-magic-move": "^1.0.0",
+    "swr": "^2.2.5",
     "tailwind-merge": "^2.5.2",
-    "tailwindcss-animate": "^1.0.7"
+    "tailwindcss-animate": "^1.0.7",
+    "tree-sitter": "^0.22.1",
+    "tree-sitter-typescript": "^0.23.2",
+    "use-stick-to-bottom": "^1.0.42",
+    "web-tree-sitter": "^0.24.4",
+    "zod": "^3.23.8"
   },
   "devDependencies": {
+    "@next/env": "^15.0.3",
     "@types/mdx": "^2.0.13",
-    "@types/node": "22.7.8",
+    "@types/node": "22.9.0",
     "@types/react": "^18.3.12",
     "@types/react-dom": "^18.3.1",
     "autoprefixer": "^10.4.20",
-    "postcss": "^8.4.47",
-    "tailwindcss": "^3.4.14",
-    "typescript": "^5.6.3"
+    "cross-env": "^7.0.3",
+    "fast-glob": "^3.3.2",
+    "gray-matter": "^4.0.3",
+    "monaco-editor-webpack-plugin": "^7.1.0",
+    "postcss": "^8.4.49",
+    "raw-loader": "^4.0.2",
+    "remark": "^15.0.1",
+    "remark-gfm": "^4.0.0",
+    "remark-mdx": "^3.1.0",
+    "remark-stringify": "^11.0.0",
+    "tailwindcss": "^3.4.15",
+    "tsx": "^4.19.2",
+    "typedoc": "0.27.4",
+    "typedoc-plugin-markdown": "^4.3.1",
+    "typedoc-plugin-merge-modules": "^6.1.0",
+    "typescript": "^5.7.2"
   }
 }

apps/next/public/icons/Amazon_Web_Services_Logo.svg

@@ -0,0 +1,38 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 19.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 304 182" style="enable-background:new 0 0 304 182;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#252F3E;}
+	.st1{fill-rule:evenodd;clip-rule:evenodd;fill:#FF9900;}
+</style>
+<g>
+	<path class="st0" d="M86.4,66.4c0,3.7,0.4,6.7,1.1,8.9c0.8,2.2,1.8,4.6,3.2,7.2c0.5,0.8,0.7,1.6,0.7,2.3c0,1-0.6,2-1.9,3l-6.3,4.2
+		c-0.9,0.6-1.8,0.9-2.6,0.9c-1,0-2-0.5-3-1.4C76.2,90,75,88.4,74,86.8c-1-1.7-2-3.6-3.1-5.9c-7.8,9.2-17.6,13.8-29.4,13.8
+		c-8.4,0-15.1-2.4-20-7.2c-4.9-4.8-7.4-11.2-7.4-19.2c0-8.5,3-15.4,9.1-20.6c6.1-5.2,14.2-7.8,24.5-7.8c3.4,0,6.9,0.3,10.6,0.8
+		c3.7,0.5,7.5,1.3,11.5,2.2v-7.3c0-7.6-1.6-12.9-4.7-16c-3.2-3.1-8.6-4.6-16.3-4.6c-3.5,0-7.1,0.4-10.8,1.3c-3.7,0.9-7.3,2-10.8,3.4
+		c-1.6,0.7-2.8,1.1-3.5,1.3c-0.7,0.2-1.2,0.3-1.6,0.3c-1.4,0-2.1-1-2.1-3.1v-4.9c0-1.6,0.2-2.8,0.7-3.5c0.5-0.7,1.4-1.4,2.8-2.1
+		c3.5-1.8,7.7-3.3,12.6-4.5c4.9-1.3,10.1-1.9,15.6-1.9c11.9,0,20.6,2.7,26.2,8.1c5.5,5.4,8.3,13.6,8.3,24.6V66.4z M45.8,81.6
+		c3.3,0,6.7-0.6,10.3-1.8c3.6-1.2,6.8-3.4,9.5-6.4c1.6-1.9,2.8-4,3.4-6.4c0.6-2.4,1-5.3,1-8.7v-4.2c-2.9-0.7-6-1.3-9.2-1.7
+		c-3.2-0.4-6.3-0.6-9.4-0.6c-6.7,0-11.6,1.3-14.9,4c-3.3,2.7-4.9,6.5-4.9,11.5c0,4.7,1.2,8.2,3.7,10.6
+		C37.7,80.4,41.2,81.6,45.8,81.6z M126.1,92.4c-1.8,0-3-0.3-3.8-1c-0.8-0.6-1.5-2-2.1-3.9L96.7,10.2c-0.6-2-0.9-3.3-0.9-4
+		c0-1.6,0.8-2.5,2.4-2.5h9.8c1.9,0,3.2,0.3,3.9,1c0.8,0.6,1.4,2,2,3.9l16.8,66.2l15.6-66.2c0.5-2,1.1-3.3,1.9-3.9c0.8-0.6,2.2-1,4-1
+		h8c1.9,0,3.2,0.3,4,1c0.8,0.6,1.5,2,1.9,3.9l15.8,67l17.3-67c0.6-2,1.3-3.3,2-3.9c0.8-0.6,2.1-1,3.9-1h9.3c1.6,0,2.5,0.8,2.5,2.5
+		c0,0.5-0.1,1-0.2,1.6c-0.1,0.6-0.3,1.4-0.7,2.5l-24.1,77.3c-0.6,2-1.3,3.3-2.1,3.9c-0.8,0.6-2.1,1-3.8,1h-8.6c-1.9,0-3.2-0.3-4-1
+		c-0.8-0.7-1.5-2-1.9-4L156,23l-15.4,64.4c-0.5,2-1.1,3.3-1.9,4c-0.8,0.7-2.2,1-4,1H126.1z M254.6,95.1c-5.2,0-10.4-0.6-15.4-1.8
+		c-5-1.2-8.9-2.5-11.5-4c-1.6-0.9-2.7-1.9-3.1-2.8c-0.4-0.9-0.6-1.9-0.6-2.8v-5.1c0-2.1,0.8-3.1,2.3-3.1c0.6,0,1.2,0.1,1.8,0.3
+		c0.6,0.2,1.5,0.6,2.5,1c3.4,1.5,7.1,2.7,11,3.5c4,0.8,7.9,1.2,11.9,1.2c6.3,0,11.2-1.1,14.6-3.3c3.4-2.2,5.2-5.4,5.2-9.5
+		c0-2.8-0.9-5.1-2.7-7c-1.8-1.9-5.2-3.6-10.1-5.2L246,52c-7.3-2.3-12.7-5.7-16-10.2c-3.3-4.4-5-9.3-5-14.5c0-4.2,0.9-7.9,2.7-11.1
+		c1.8-3.2,4.2-6,7.2-8.2c3-2.3,6.4-4,10.4-5.2c4-1.2,8.2-1.7,12.6-1.7c2.2,0,4.5,0.1,6.7,0.4c2.3,0.3,4.4,0.7,6.5,1.1
+		c2,0.5,3.9,1,5.7,1.6c1.8,0.6,3.2,1.2,4.2,1.8c1.4,0.8,2.4,1.6,3,2.5c0.6,0.8,0.9,1.9,0.9,3.3v4.7c0,2.1-0.8,3.2-2.3,3.2
+		c-0.8,0-2.1-0.4-3.8-1.2c-5.7-2.6-12.1-3.9-19.2-3.9c-5.7,0-10.2,0.9-13.3,2.8c-3.1,1.9-4.7,4.8-4.7,8.9c0,2.8,1,5.2,3,7.1
+		c2,1.9,5.7,3.8,11,5.5l14.2,4.5c7.2,2.3,12.4,5.5,15.5,9.6c3.1,4.1,4.6,8.8,4.6,14c0,4.3-0.9,8.2-2.6,11.6
+		c-1.8,3.4-4.2,6.4-7.3,8.8c-3.1,2.5-6.8,4.3-11.1,5.6C264.4,94.4,259.7,95.1,254.6,95.1z"/>
+	<g>
+		<path class="st1" d="M273.5,143.7c-32.9,24.3-80.7,37.2-121.8,37.2c-57.6,0-109.5-21.3-148.7-56.7c-3.1-2.8-0.3-6.6,3.4-4.4
+			c42.4,24.6,94.7,39.5,148.8,39.5c36.5,0,76.6-7.6,113.5-23.2C274.2,133.6,278.9,139.7,273.5,143.7z"/>
+		<path class="st1" d="M287.2,128.1c-4.2-5.4-27.8-2.6-38.5-1.3c-3.2,0.4-3.7-2.4-0.8-4.5c18.8-13.2,49.7-9.4,53.3-5
+			c3.6,4.5-1,35.4-18.6,50.2c-2.7,2.3-5.3,1.1-4.1-1.9C282.5,155.7,291.4,133.4,287.2,128.1z"/>
+	</g>
+</g>
+</svg>

apps/next/public/icons/Google_2015_logo.svg

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