fix: change name to test_index in unit_tests

* chore: remove llamaindex dep

* chore: remove all dependency on llamaindex

* feat: restructure docs/examples

* chore: remove llamaindex dep

* chore: remove all dependency on llamaindex

* simplify querytool

* fix tests

* revert version

* add missing import

* remove unused file

* feat: change default description to adapt it to LlamaCloud Index

---------

Co-authored-by: Clelia (Astra) Bertelli <clelia@runllama.ai>

.github/workflows/build_package_py.yml

@@ -1,4 +1,4 @@
-name: Build Package
+name: Build Package - Python
 
 # Build package on its own without additional pip install
 
@@ -6,10 +6,13 @@ on:
   push:
     branches:
       - main
+    paths:
+      - "py/**"
   pull_request:
-
+    paths:
+      - "py/**"
 env:
-  POETRY_VERSION: "1.6.1"
+  UV_VERSION: "0.7.20"
 
 jobs:
   build:
@@ -25,6 +28,8 @@ jobs:
 
       - name: Install uv
         uses: astral-sh/setup-uv@v6
+        with:
+          version: ${{ env.UV_VERSION }}
 
       - name: Set up Python
         run: uv python install

.github/workflows/build_package_ts.yml

@@ -0,0 +1,36 @@
+name: Build Package - TypeScript
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "ts/**"
+  pull_request:
+    paths:
+      - "ts/**"
+
+jobs:
+  pre_release:
+    name: Pre Release
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v4
+
+      - uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: "ts/llama_cloud_services/.nvmrc"
+
+      - name: Install dependencies
+        working-directory: ts/llama_cloud_services/
+        run: pnpm install --no-frozen-lockfile
+
+      - name: Build
+        working-directory: ts/llama_cloud_services/
+        run: pnpm run build

.github/workflows/lint_py.yml

@@ -1,4 +1,4 @@
-name: Linting
+name: Lint - Python
 
 on:
   push:
@@ -7,7 +7,7 @@ on:
   pull_request:
 
 env:
-  POETRY_VERSION: "1.6.1"
+  UV_VERSION: "0.7.20"
 
 jobs:
   build:
@@ -23,6 +23,8 @@ jobs:
           fetch-depth: ${{ github.event_name == 'pull_request' && 2 || 0 }}
       - name: Install uv
         uses: astral-sh/setup-uv@v6
+        with:
+          version: ${{ env.UV_VERSION }}
 
       - name: Set up Python
         run: uv python install ${{ matrix.python-version }}

.github/workflows/lint_ts.yml

@@ -0,0 +1,38 @@
+name: Lint - TypeScript
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "ts/**"
+  pull_request:
+    paths:
+      - "ts/**"
+
+env:
+  TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
+  TURBO_TEAM: ${{ vars.TURBO_TEAM }}
+  TURBO_REMOTE_ONLY: true
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: pnpm/action-setup@v4
+        with:
+          version: 10
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: "ts/llama_cloud_services/.nvmrc"
+      - name: Install dependencies
+        working-directory: ts/llama_cloud_services/
+        run: pnpm install --no-frozen-lockfile
+      - name: Run lint
+        working-directory: ts/llama_cloud_services/
+        run: pnpm run lint
+      - name: Run Prettier
+        working-directory: ts/llama_cloud_services/
+        run: pnpm run format

.github/workflows/publish_release.yml

@@ -1,83 +0,0 @@
-name: Publish llama-parse to PyPI / GitHub
-
-on:
-  push:
-    tags:
-      - "v*"
-
-  workflow_dispatch:
-
-env:
-  POETRY_VERSION: "1.6.1"
-  PYTHON_VERSION: "3.9"
-
-jobs:
-  build-n-publish:
-    name: Build and publish to PyPI
-    if: github.repository == 'run-llama/llama_cloud_services'
-    runs-on: ubuntu-latest
-
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up python ${{ env.PYTHON_VERSION }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.PYTHON_VERSION }}
-
-      - name: Install Poetry
-        uses: snok/install-poetry@v1
-        with:
-          version: ${{ env.POETRY_VERSION }}
-
-      - name: Install deps
-        shell: bash
-        run: pip install -e .
-
-      - name: Build and publish llama-cloud-services
-        uses: JRubics/poetry-publish@v2.1
-        with:
-          pypi_token: ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
-          poetry_install_options: "--without dev"
-
-      - name: Wait for PyPI to update
-        run: |
-          sleep 120
-
-      - name: Update llama-parse lock file
-        run: |
-          cd llama_parse && poetry lock
-
-      - name: Build and publish llama-parse
-        uses: JRubics/poetry-publish@v2.1
-        with:
-          package_directory: "./llama_parse"
-          pypi_token: ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
-          poetry_install_options: "--without dev"
-
-      - name: Create GitHub Release
-        id: create_release
-        uses: actions/create-release@v1
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # This token is provided by Actions, you do not need to create your own token
-        with:
-          tag_name: ${{ github.ref }}
-          release_name: ${{ github.ref }}
-          draft: false
-          prerelease: false
-
-      - name: Get Asset name
-        run: |
-          export PKG=$(ls dist/ | grep tar)
-          set -- $PKG
-          echo "name=$1" >> $GITHUB_ENV
-
-      - name: Upload Release Asset (sdist) to GitHub
-        id: upload-release-asset
-        uses: actions/upload-release-asset@v1
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-          upload_url: ${{ steps.create_release.outputs.upload_url }}
-          asset_path: dist/${{ env.name }}
-          asset_name: ${{ env.name }}
-          asset_content_type: application/zip

.github/workflows/release_py.yml

@@ -0,0 +1,66 @@
+name: Publish Release - Python
+
+on:
+  push:
+    tags:
+      - "v*"
+
+  workflow_dispatch:
+
+env:
+  UV_VERSION: "0.7.20"
+
+jobs:
+  build-n-publish:
+    name: Build and publish to PyPI
+    if: github.repository == 'run-llama/llama_cloud_services'
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          version: ${{ env.UV_VERSION }}
+
+      - name: Set up Python
+        run: uv python install
+
+      - name: Display Python version
+        run: python --version
+
+      - name: Build
+        working-directory: py
+        run: uv build
+
+      - name: Test installing built package
+        shell: bash
+        working-directory: py
+        run: |
+          uv venv
+          uv pip install dist/*.whl
+
+      - name: Publish package
+        shell: bash
+        working-directory: py
+        run: uv publish --token ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
+
+      - name: Build and publish llama-parse
+        working-directory: py/llama_parse/
+        run: |
+          uv build
+          uv publish --token ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
+
+      - name: Create GitHub Release
+        id: create_release
+        uses: actions/create-release@v1
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # This token is provided by Actions, you do not need to create your own token
+        with:
+          tag_name: ${{ github.ref }}
+          release_name: ${{ github.ref }} - LlamaCloud Services PY
+          artifacts: "py/**/dist/*"
+          generateReleaseNotes: true
+          draft: false
+          prerelease: false

.github/workflows/release_ts.yml

@@ -0,0 +1,51 @@
+name: Publish Release - TypeScript
+
+on:
+  push:
+    tags:
+      - "llama-cloud-services@*"
+
+jobs:
+  build-and-publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v4
+
+      - uses: pnpm/action-setup@v4
+        with:
+          version: 10
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: "ts/llama_cloud_services/.nvmrc"
+
+      - name: Install dependencies
+        working-directory: ts/llama_cloud_services
+        run: pnpm install --no-frozen-lockfile
+
+      - name: Build tarball
+        run: |
+          pnpm pack
+        working-directory: ts/llama_cloud_services
+
+      - name: Setup npm authentication
+        run: echo "//registry.npmjs.org/:_authToken=${NPM_TOKEN}" > ~/.npmrc
+        env:
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Release
+        working-directory: ts/llama_cloud_services
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+        run: pnpm publish --access public --no-git-checks
+
+      - name: Create release
+        uses: ncipollo/release-action@v1
+        with:
+          artifacts: "ts/llama_cloud_services/llama-cloud-services*.tgz"
+          name: Release ${{ github.ref }} - LlamaCloud Services TS
+          bodyFile: "ts/llama_cloud_services/CHANGELOG.md"
+          token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/test_e2e_py.yml

@@ -0,0 +1,38 @@
+name: Test end-to-end - Python
+
+on:
+  pull_request:
+    paths:
+      - "py/**"
+
+env:
+  UV_VERSION: "0.7.20"
+  LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
+
+jobs:
+  test_e2e:
+    runs-on: ubuntu-latest
+    strategy:
+      # You can use PyPy versions in python-version.
+      # For example, pypy-2.7 and pypy-3.8
+      matrix:
+        python-version: ["3.12"]
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          version: ${{ env.UV_VERSION }}
+
+      - name: Set up Python
+        run: uv python install ${{ matrix.python-version }} && uv python pin ${{ matrix.python-version }}
+
+      - name: Run Tests
+        working-directory: py
+        run: uv run pytest unit_tests/ tests/ -v
+
+      - name: Remove virtual environment
+        working-directory: py
+        run: rm -rf .venv/

.github/workflows/test_py.yml

@@ -1,14 +1,17 @@
-name: Unit Testing
+name: Test - Python
 
 on:
   push:
     branches:
       - main
+    paths:
+      - "py/**"
   pull_request:
+    paths:
+      - "py/**"
 
 env:
-  POETRY_VERSION: "1.6.1"
-  LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
+  UV_VERSION: "0.7.20"
 
 jobs:
   test:
@@ -24,13 +27,15 @@ jobs:
           fetch-depth: 0
       - name: Install uv
         uses: astral-sh/setup-uv@v6
+        with:
+          version: ${{ env.UV_VERSION }}
 
       - name: Set up Python
         run: uv python install ${{ matrix.python-version }} && uv python pin ${{ matrix.python-version }}
 
       - name: Run Tests
         working-directory: py
-        run: uv run -- pytest tests/test_*.py
+        run: uv run pytest unit_tests/ -v
 
       - name: Remove virtual environment
         working-directory: py

.github/workflows/test_ts.yml

@@ -0,0 +1,37 @@
+name: Lint - TypeScript
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - "ts/**"
+  pull_request:
+    paths:
+      - "ts/**"
+
+env:
+  TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
+  TURBO_TEAM: ${{ vars.TURBO_TEAM }}
+  TURBO_REMOTE_ONLY: true
+  LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
+
+jobs:
+  test:
+    name: Test - TypeScript
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: pnpm/action-setup@v4
+        with:
+          version: 10
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: "ts/llama_cloud_services/.nvmrc"
+      - name: Install dependencies
+        working-directory: ts/llama_cloud_services/
+        run: pnpm install --no-frozen-lockfile
+      - name: Run tests
+        working-directory: ts/llama_cloud_services/
+        run: pnpm test

.pre-commit-config.yaml

@@ -33,7 +33,7 @@ repos:
     rev: v1.0.1
     hooks:
       - id: mypy
-        exclude: ^py/tests/
+        exclude: ^py/tests|^py/unit_tests
         additional_dependencies:
           [
             "types-requests",
@@ -63,13 +63,13 @@ repos:
     rev: v3.0.3
     hooks:
       - id: prettier
-        exclude: uv.lock
+        exclude: ^(uv.lock|ts/llama_cloud_services/pnpm-lock.yaml)
   - repo: https://github.com/codespell-project/codespell
     rev: v2.2.6
     hooks:
       - id: codespell
         additional_dependencies: [tomli]
-        exclude: ^(uv.lock|docs|ts)
+        exclude: ^(uv.lock|docs|ts|examples)
         args:
           [
             "--ignore-words-list",

CONTRIBUTING.md

@@ -14,6 +14,8 @@ sdk needs bumping, make sure to bring that in as well. If updating dependencies,
 The legacy `llama_parse` package re-exports some of `llama_cloud_services` in the old namespace. The
 versions need to be kept consistent to sidecar it with `llama_cloud_services`. Bump it's version in `llama_parse/pyproject.toml`, and also bump it's dependency version of `llama-cloud-services` to match.
 
+**Note**: Don't worry about updating the `llama_parse/poetry.lock` file when bumping versions. The GitHub action will automatically run `poetry lock` for the llama_parse package during the build process (though it doesn't commit the updated lockfile back to the repo).
+
 You can also do this with `./scripts/version-bump.py set 0.x.x` if you have `uv` installed.
 
 Once the change is merged, push a tag `git tag -a v0.x.x -m 0.x.x` and `git push origin 0.x.x`.

README.md

@@ -11,6 +11,7 @@ This includes:
 - [LlamaParse](./parse.md) - A GenAI-native document parser that can parse complex document data for any downstream LLM use case (Agents, RAG, data processing, etc.).
 - [LlamaReport (beta/invite-only)](./report.md) - A prebuilt agentic report builder that can be used to build reports from a variety of data sources.
 - [LlamaExtract](./extract.md) - A prebuilt agentic data extractor that can be used to transform data into a structured JSON representation.
+- [LlamaCloud Index](./index.md) - A widely customizable and fully automated document ingestion pipeline that also serves retrieval purposes.
 
 ## Getting Started
 
@@ -25,11 +26,19 @@ Then, get your API key from [LlamaCloud](https://cloud.llamaindex.ai/).
 Then, you can use the services in your code:
 
 ```python
-from llama_cloud_services import LlamaParse, LlamaReport, LlamaExtract
+from llama_cloud_services import (
+    LlamaParse,
+    LlamaReport,
+    LlamaExtract,
+    LlamaCloudIndex,
+)
 
 parser = LlamaParse(api_key="YOUR_API_KEY")
 report = LlamaReport(api_key="YOUR_API_KEY")
 extract = LlamaExtract(api_key="YOUR_API_KEY")
+index = LlamaCloudIndex(
+    "my_first_index", project_name="default", api_key="YOUR_API_KEY"
+)
 ```
 
 See the quickstart guides for each service for more information:
@@ -37,6 +46,7 @@ See the quickstart guides for each service for more information:
 - [LlamaParse](./parse.md)
 - [LlamaReport (beta/invite-only)](./report.md)
 - [LlamaExtract](./extract.md)
+- [LlamaCloud Index](./index.md)
 
 ## Switch to EU SaaS 🇪🇺
 
@@ -55,6 +65,12 @@ from llama_cloud_services import (
 parser = LlamaParse(api_key="YOUR_API_KEY", base_url=EU_BASE_URL)
 report = LlamaReport(api_key="YOUR_API_KEY", base_url=EU_BASE_URL)
 extract = LlamaExtract(api_key="YOUR_API_KEY", base_url=EU_BASE_URL)
+index = LlamaCloudIndex(
+    "my_first_index",
+    project_name="default",
+    api_key="YOUR_API_KEY",
+    base_url=EU_BASE_URL,
+)
 ```
 
 ## Documentation

examples/README.md

@@ -0,0 +1,11 @@
+# LlamaCloud Services Examples
+
+In this folder you will find several python notebooks and two end-to-end typescript applications that contain examples regarding:
+
+- [LlamaParse - Python](./parse/)
+- [LlamaParse - TypeScript](./parse-ts/)
+- [LlamaExtract - Python](./extract/)
+- [LlamaReport - Python](./report/)
+- [LlamaCloud Index - TypeScript](./index-ts/)
+
+Follow the instructions of each notebook/application to get started!

examples/index-ts/README.md

@@ -0,0 +1,131 @@
+# LlamaCloud Index Demo
+
+A TypeScript demo application showcasing the power of **LlamaCloud Index** - a fully automated document ingestion and retrieval serviced offered within [LlamaCloud](https://cloud.llamaindex.ai). This demo allows you to ask questions, retrieve relevant contextual information and generate AI-powered responses using OpenAI's GPT models.
+
+## Table of Contents
+
+- [Features](#features)
+- [Prerequisites](#prerequisites)
+- [Installation](#installation)
+- [Usage](#usage)
+  - [Start the Demo](#start-the-demo)
+  - [Development Mode](#development-mode)
+  - [Build the Project](#build-the-project)
+  - [Code Quality](#code-quality)
+  - [Quick Commands Reference](#quick-commands-reference)
+- [How It Works](#how-it-works)
+- [API Dependencies](#api-dependencies)
+- [Troubleshooting](#troubleshooting)
+  - [Common Issues](#common-issues)
+- [License](#license)
+- [Contributing](#contributing)
+
+## Features
+
+- 🤖 **RAG**: Simple-yet-effective Retrieval Augmented Generation pipeline built on top of LlamaCloud Index and OpenAI
+- 🎨 **Beautiful CLI**: Styled console interface with colors and ASCII art
+- ⚡ **Fast Development**: Hot reload support with watch mode
+- 🛠️ **TypeScript**: Full TypeScript support with strict type checking
+
+## Prerequisites
+
+- Node.js (version 18 or higher)
+- pnpm package manager
+- OpenAI API key
+- LlamaCloud API key
+- An existing LlamaCloud Index pipeline
+
+## Installation
+
+1. Clone the repository:
+
+```bash
+git clone <repository-url>
+cd llamaparse-demo
+```
+
+2. Install dependencies:
+
+```bash
+pnpm install
+```
+
+3. Set up your environment variables:
+
+```bash
+export OPENAI_API_KEY="your-openai-api-key"
+export LLAMA_CLOUD_API_KEY="your-llamacloud-api-key"
+export PIPELINE_NAME="your-pipeline-name"
+```
+
+4. Or write them into a `.env` file:
+
+```env
+OPENAI_API_KEY="your-openai-api-key"
+LLAMA_CLOUD_API_KEY="your-llamacloud-api-key"
+PIPELINE_NAME="your-pipeline-name"
+```
+
+## Usage
+
+### Start the Demo
+
+```bash
+pnpm run start
+```
+
+The application will display a welcome screen and prompt you to start chatting!
+
+### Development Mode
+
+For development with hot reload:
+
+```bash
+pnpm run dev
+```
+
+### Build the Project
+
+```bash
+pnpm run build
+```
+
+### Code Quality
+
+Format code:
+
+```bash
+pnpm run format
+```
+
+Lint code:
+
+```bash
+pnpm run lint
+```
+
+## How It Works
+
+1. **Message Input**: Enter a message
+2. **Retrieval**: Several nodes are retrieved from the LlamaCloud index you specified
+3. **AI Response Generation**: The retrieved information is passed on to the AI model, along with its relevance score, and a reply to your original message is generated starting from that.
+4. **Results**: View the AI-generated summary in your terminal
+
+## Troubleshooting
+
+### Common Issues
+
+1. **Module Resolution Errors**: Ensure you're using Node.js 18+ and have all dependencies installed
+2. **API Key Issues**: Verify your OpenAI and LlamaCloud API keys are correctly set
+
+## License
+
+MIT License - see the [LICENSE](../../../LICENSE) file for details.
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Run `pnpm format` and `pnpm lint`
+5. Submit a pull request

examples/index-ts/eslint.config.mts

@@ -0,0 +1,15 @@
+import js from "@eslint/js";
+import globals from "globals";
+import tseslint from "typescript-eslint";
+import { defineConfig } from "eslint/config";
+
+export default defineConfig([
+  {
+    files: ["**/*.{js,mjs,cjs,ts,mts,cts}"],
+    plugins: { js },
+    extends: ["js/recommended"],
+    languageOptions: { globals: globals.browser },
+  },
+  { files: ["**/*.js"], languageOptions: { sourceType: "script" } },
+  tseslint.configs.recommended,
+]);

examples/index-ts/package.json

@@ -0,0 +1,48 @@
+{
+  "name": "llama-chat",
+  "version": "0.1.0",
+  "description": "Demo for LlamaCloud Index in TypeScript",
+  "type": "module",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"There are no tests\"",
+    "start": "pnpm exec tsx src/index.ts",
+    "lint": "eslint ./src/",
+    "format": "prettier --write ./src/",
+    "build": "tsc",
+    "dev": "pnpm exec tsx --watch src/index.ts"
+  },
+  "keywords": [
+    "ai",
+    "rag",
+    "retrieval",
+    "pipeline",
+    "llms",
+    "chatbot"
+  ],
+  "author": "LlamaIndex",
+  "license": "MIT",
+  "packageManager": "pnpm@10.12.4",
+  "devDependencies": {
+    "@eslint/js": "^9.32.0",
+    "@types/figlet": "^1.7.0",
+    "@types/node": "^24.1.0",
+    "@typescript-eslint/eslint-plugin": "^8.38.0",
+    "@typescript-eslint/parser": "^8.38.0",
+    "eslint": "^9.32.0",
+    "globals": "^16.3.0",
+    "jiti": "^2.5.1",
+    "prettier": "^3.6.2",
+    "typescript": "^5.8.3",
+    "typescript-eslint": "^8.38.0"
+  },
+  "dependencies": {
+    "@ai-sdk/openai": "^1.3.23",
+    "ai": "^4.3.19",
+    "consola": "^3.4.2",
+    "dotenv": "^17.2.1",
+    "figlet": "^1.8.2",
+    "llama-cloud-services": "link:../../../ts/llama_cloud_services",
+    "picocolors": "^1.1.1"
+  }
+}

examples/index-ts/src/index.ts

@@ -0,0 +1,48 @@
+import { LlamaCloudIndex } from "llama-cloud-services";
+import { logger } from "./logger";
+import pc from "picocolors";
+import {
+  consoleInput,
+  retrievalAugmentedGeneration,
+  renderLogo,
+} from "./utils";
+import dotenv from "dotenv";
+
+dotenv.config();
+
+export async function main(): Promise<number> {
+  const index = new LlamaCloudIndex({
+    name: process.env.PIPELINE_NAME as string,
+    projectName: "Default",
+    apiKey: process.env.LLAMA_CLOUD_API_KEY, // can provide API-key in the constructor or in the env
+  });
+  const retriever = index.asRetriever({
+    similarityTopK: 5,
+  });
+  await renderLogo();
+  logger.log(
+    `Welcome to ${pc.bold(
+      pc.magentaBright("✨LlamaChat✨"),
+    )}, our demo for ${pc.bold(pc.green("Index🦙"))}, a ${pc.bold(
+      pc.cyan("LlamaCloud☁️"),
+    )}  (https://cloud.llamaindex.ai) product!.\nType a question below, and you will get an answer!👇\nIf you wish to exit, just type ${pc.bold(
+      pc.gray("quit"),
+    )}.\n`,
+  );
+  while (true) {
+    const userInput = await consoleInput();
+    if (userInput.toLowerCase() == "quit") {
+      break;
+    }
+    try {
+      const nodes = await retriever.retrieve(userInput);
+      const summary = await retrievalAugmentedGeneration(nodes, userInput);
+      logger.log(`${pc.bold(pc.magentaBright("LlamaChat✨:"))}\n${summary}`);
+    } catch (error) {
+      logger.error(`Error processing your request: ${error}`);
+    }
+  }
+  return 0;
+}
+
+main().catch(console.error);

examples/index-ts/src/logger.ts

@@ -0,0 +1,8 @@
+import { createConsola } from "consola";
+import type { ConsolaInstance } from "consola";
+
+export const logger: ConsolaInstance = createConsola({
+  formatOptions: {
+    date: false,
+  },
+});

examples/index-ts/src/utils.ts

@@ -0,0 +1,56 @@
+import { generateText } from "ai";
+import { openai } from "@ai-sdk/openai";
+import { NodeWithScore, MetadataMode } from "llamaindex";
+import * as readline from "readline/promises";
+import figlet from "figlet";
+import pc from "picocolors";
+
+export async function renderLogo(): Promise<void> {
+  const logoText = figlet.textSync("LlamaChat", {
+    font: "ANSI Shadow",
+    horizontalLayout: "default",
+    verticalLayout: "default",
+    width: 100,
+    whitespaceBreak: true,
+  });
+
+  // Add some styling with picocolors
+  const styledLogo = pc.bold(pc.yellowBright(logoText));
+
+  // Add some padding/margin
+  console.log("\n");
+  console.log(styledLogo);
+  console.log(pc.gray("─".repeat(60)));
+  console.log("\n");
+}
+
+export async function consoleInput(): Promise<string> {
+  const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
+
+  const answer = await rl.question(pc.cyanBright("You✨:"));
+  rl.close();
+  return answer;
+}
+
+export async function retrievalAugmentedGeneration(
+  nodes: NodeWithScore[],
+  prompt: string,
+): Promise<string> {
+  let mainText: string = "";
+
+  for (const node of nodes) {
+    mainText += `\t{information: '${node.node.getContent(
+      MetadataMode.ALL,
+    )}', relevanceScore: '${node.score ?? "no score"}'}\n`;
+  }
+
+  const { text } = await generateText({
+    model: openai("gpt-4.1"),
+    prompt: `[\n${mainText}\n]\n\nBased on the information you are given and on the relevance score of that (where -1 means no score available), answer to this user prompt: '${prompt}'`,
+  });
+
+  return text;
+}

examples/index-ts/tsconfig.json

@@ -0,0 +1,22 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "ES2022",
+    "lib": ["ES2022"],
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "types": ["node"],
+    "moduleResolution": "bundler",
+    "allowSyntheticDefaultImports": true,
+    "resolveJsonModule": true
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

examples/parse-ts/README.md

@@ -0,0 +1,124 @@
+# LlamaParse Demo
+
+A TypeScript demo application showcasing the power of **LlamaParse** - an intelligent document parsing service from [LlamaCloud](https://cloud.llamaindex.ai). This demo allows you to parse various document formats and generate AI-powered summaries using OpenAI's GPT models.
+
+## Table of Contents
+
+- [Features](#features)
+- [Prerequisites](#prerequisites)
+- [Installation](#installation)
+- [Usage](#usage)
+  - [Start the Demo](#start-the-demo)
+  - [Development Mode](#development-mode)
+  - [Build the Project](#build-the-project)
+  - [Code Quality](#code-quality)
+  - [Quick Commands Reference](#quick-commands-reference)
+- [How It Works](#how-it-works)
+- [API Dependencies](#api-dependencies)
+- [Troubleshooting](#troubleshooting)
+  - [Common Issues](#common-issues)
+- [License](#license)
+- [Contributing](#contributing)
+
+## Features
+
+- 📄 **Document Parsing**: Parse PDFs, Word docs, and other formats using LlamaParse
+- 🤖 **AI Summaries**: Generate intelligent summaries using OpenAI GPT-4
+- 🎨 **Beautiful CLI**: Styled console interface with colors and ASCII art
+- ⚡ **Fast Development**: Hot reload support with watch mode
+- 🛠️ **TypeScript**: Full TypeScript support with strict type checking
+
+## Prerequisites
+
+- Node.js (version 18 or higher)
+- pnpm package manager
+- OpenAI API key
+- LlamaCloud API key
+
+## Installation
+
+1. Clone the repository:
+
+```bash
+git clone <repository-url>
+cd llamaparse-demo
+```
+
+2. Install dependencies:
+
+```bash
+pnpm install
+```
+
+3. Set up your environment variables:
+
+```bash
+# Add your API keys to your environment
+export OPENAI_API_KEY="your-openai-api-key"
+export LLAMA_CLOUD_API_KEY="your-llamacloud-api-key"
+```
+
+## Usage
+
+### Start the Demo
+
+```bash
+pnpm run start
+```
+
+The application will display a welcome screen and prompt you to enter the path to a document you'd like to process.
+
+### Development Mode
+
+For development with hot reload:
+
+```bash
+pnpm run dev
+```
+
+### Build the Project
+
+```bash
+pnpm run build
+```
+
+### Code Quality
+
+Format code:
+
+```bash
+pnpm run format
+```
+
+Lint code:
+
+```bash
+pnpm run lint
+```
+
+## How It Works
+
+1. **Document Input**: Enter the path to your document when prompted
+2. **Parsing**: LlamaParse processes the document and extracts structured content
+3. **AI Summary**: The extracted content is sent to OpenAI GPT-4 for summarization
+4. **Results**: View the AI-generated summary in your terminal
+
+## Troubleshooting
+
+### Common Issues
+
+1. **Module Resolution Errors**: Ensure you're using Node.js 18+ and have all dependencies installed
+2. **API Key Issues**: Verify your OpenAI and LlamaCloud API keys are correctly set
+3. **File Path Errors**: Use absolute paths or ensure relative paths are correct from the project root
+
+## License
+
+MIT License - see the [LICENSE](../../../LICENSE) file for details.
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Run `pnpm format` and `pnpm lint`
+5. Submit a pull request

examples/parse-ts/eslint.config.mts

@@ -0,0 +1,15 @@
+import js from "@eslint/js";
+import globals from "globals";
+import tseslint from "typescript-eslint";
+import { defineConfig } from "eslint/config";
+
+export default defineConfig([
+  {
+    files: ["**/*.{js,mjs,cjs,ts,mts,cts}"],
+    plugins: { js },
+    extends: ["js/recommended"],
+    languageOptions: { globals: globals.browser },
+  },
+  { files: ["**/*.js"], languageOptions: { sourceType: "script" } },
+  tseslint.configs.recommended,
+]);

examples/parse-ts/package.json

@@ -0,0 +1,47 @@
+{
+  "name": "llamaparse-demo",
+  "version": "0.1.0",
+  "description": "Demo for LlamaParse in TypeScript",
+  "type": "module",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"There are no tests\"",
+    "start": "pnpm exec tsx src/index.ts",
+    "lint": "eslint ./src/",
+    "format": "prettier --write ./src/",
+    "build": "tsc",
+    "dev": "pnpm exec tsx --watch src/index.ts"
+  },
+  "keywords": [
+    "ai",
+    "ocr",
+    "parsing",
+    "intelligent-document-processing",
+    "pdf",
+    "llms"
+  ],
+  "author": "LlamaIndex",
+  "license": "MIT",
+  "packageManager": "pnpm@10.12.4",
+  "devDependencies": {
+    "@eslint/js": "^9.32.0",
+    "@types/figlet": "^1.7.0",
+    "@types/node": "^24.1.0",
+    "@typescript-eslint/eslint-plugin": "^8.38.0",
+    "@typescript-eslint/parser": "^8.38.0",
+    "eslint": "^9.32.0",
+    "globals": "^16.3.0",
+    "jiti": "^2.5.1",
+    "prettier": "^3.6.2",
+    "typescript": "^5.8.3",
+    "typescript-eslint": "^8.38.0"
+  },
+  "dependencies": {
+    "@ai-sdk/openai": "^1.3.23",
+    "ai": "^4.3.19",
+    "consola": "^3.4.2",
+    "figlet": "^1.8.2",
+    "llama-cloud-services": "link:../../../ts/llama_cloud_services",
+    "picocolors": "^1.1.1"
+  }
+}

examples/parse-ts/src/index.ts

@@ -0,0 +1,34 @@
+import { LlamaParseReader } from "llama-cloud-services";
+import { logger } from "./logger";
+import pc from "picocolors";
+import { consoleInput, generateSummary, renderLogo } from "./utils";
+
+export async function main(): Promise<number> {
+  const reader = new LlamaParseReader({ resultType: "markdown" });
+  await renderLogo();
+  logger.log(
+    `Welcome to ${pc.bold(
+      pc.magentaBright("✨LlamaParse Demo✨"),
+    )}, our demo for ${pc.bold(pc.green("LlamaParse🦙"))}, a ${pc.bold(
+      pc.cyan("LlamaCloud☁️"),
+    )}  (https://cloud.llamaindex.ai) product!.\nType the path to the document you would like to process below👇\nIf you wish to exit, just type ${pc.bold(
+      pc.gray("quit"),
+    )}.\n`,
+  );
+  while (true) {
+    const userInput = await consoleInput();
+    if (userInput.toLowerCase() == "quit") {
+      break;
+    }
+    try {
+      const documents = await reader.loadData(userInput);
+      const summary = await generateSummary(documents); // Added await here
+      logger.log(`${pc.bold(pc.cyan("AI-generated summary✨"))}:\n${summary}`);
+    } catch (error) {
+      logger.error(`Error processing file: ${error}`);
+    }
+  }
+  return 0;
+}
+
+main().catch(console.error);

examples/parse-ts/src/logger.ts

@@ -0,0 +1,8 @@
+import { createConsola } from "consola";
+import type { ConsolaInstance } from "consola";
+
+export const logger: ConsolaInstance = createConsola({
+  formatOptions: {
+    date: false,
+  },
+});

examples/parse-ts/src/utils.ts

@@ -0,0 +1,51 @@
+import { generateText } from "ai";
+import { openai } from "@ai-sdk/openai";
+import { Document } from "llamaindex";
+import * as readline from "readline/promises";
+import figlet from "figlet";
+import pc from "picocolors";
+
+export async function renderLogo(): Promise<void> {
+  const logoText = figlet.textSync("LlamaParse Demo", {
+    font: "ANSI Shadow",
+    horizontalLayout: "default",
+    verticalLayout: "default",
+    width: 100,
+    whitespaceBreak: true,
+  });
+
+  // Add some styling with picocolors
+  const styledLogo = pc.bold(pc.magentaBright(logoText));
+
+  // Add some padding/margin
+  console.log("\n");
+  console.log(styledLogo);
+  console.log(pc.gray("─".repeat(60)));
+  console.log("\n");
+}
+
+export async function consoleInput(): Promise<string> {
+  const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
+
+  const answer = await rl.question("Path to your file: ");
+  rl.close();
+  return answer;
+}
+
+export async function generateSummary(documents: Document[]): Promise<string> {
+  let mainText: string = "";
+
+  for (const document of documents) {
+    mainText += `${document.text}\n\n---\n\n`;
+  }
+
+  const { text } = await generateText({
+    model: openai("gpt-4.1"),
+    prompt: `</chat>\n\t<text>${mainText}</text>\n\t<instructions>Could you please generate a summary of the given text?</instructions>\n</chat>`,
+  });
+
+  return text;
+}

examples/parse-ts/tsconfig.json

@@ -0,0 +1,22 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "ES2022",
+    "lib": ["ES2022"],
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "types": ["node"],
+    "moduleResolution": "bundler",
+    "allowSyntheticDefaultImports": true,
+    "resolveJsonModule": true
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}