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Deprecation Notice\n\u003e\n\u003e **This project is deprecated and no longer maintained.**\n\u003e \n\u003e For LlamaCloud/LlamaParse usage, check out our docs: https://developers.llamaindex.ai/python/cloud/\n\u003e\n\u003e Thank you to everyone who contributed to and used LlamaIndex.TS.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg height=\"100\" width=\"100\" alt=\"LlamaIndex logo\" src=\"https://ts.llamaindex.ai/square.svg\" /\u003e\n\u003c/p\u003e\n\u003ch1 align=\"center\"\u003eLlamaIndex.TS (Deprecated)\u003c/h1\u003e\n\u003ch3 align=\"center\"\u003e\n  Data framework for your LLM application.\n\u003c/h3\u003e\n\n[![NPM Version](https://img.shields.io/npm/v/llamaindex)](https://www.npmjs.com/package/llamaindex)\n[![NPM License](https://img.shields.io/npm/l/llamaindex)](https://github.com/run-llama/LlamaIndexTS/blob/main/LICENSE)\n[![NPM Downloads](https://img.shields.io/npm/dm/llamaindex)](https://www.npmjs.com/package/llamaindex)\n[![Discord](https://img.shields.io/discord/1059199217496772688)](https://discord.com/invite/eN6D2HQ4aX)\n[![Twitter](https://img.shields.io/twitter/follow/llama_index)](https://x.com/llama_index)\n\nUse your own data with large language models (LLMs, OpenAI ChatGPT and others) in JS runtime environments with TypeScript support.\n\nDocumentation: https://ts.llamaindex.ai/\n\nTry examples online:\n\n[![Open in Stackblitz](https://developer.stackblitz.com/img/open_in_stackblitz.svg)](https://stackblitz.com/github/run-llama/LlamaIndexTS/tree/main/examples)\n\n## What is LlamaIndex.TS?\n\nLlamaIndex.TS aims to be a lightweight, easy to use set of libraries to help you integrate large language models into your applications with your own data.\n\n## Compatibility\n\n### Multiple JS Environment Support\n\nLlamaIndex.TS supports multiple JS environments, including:\n\n- Node.js \u003e= 20 ✅\n- Deno ✅\n- Bun ✅\n- Nitro ✅\n- Vercel Edge Runtime ✅ (with some limitations)\n- Cloudflare Workers ✅ (with some limitations)\n\nFor now, browser support is limited due to the lack of support for [AsyncLocalStorage-like APIs](https://github.com/tc39/proposal-async-context)\n\n### Supported LLMs:\n\n- OpenAI LLms\n- Anthropic LLms\n- Groq LLMs\n- Llama2, Llama3, Llama3.1 LLMs\n- MistralAI LLMs\n- Fireworks LLMs\n- DeepSeek LLMs\n- ReplicateAI LLMs\n- TogetherAI LLMs\n- HuggingFace LLms\n- DeepInfra LLMs\n- Gemini LLMs\n\n## Getting started\n\n```shell\nnpm install llamaindex\npnpm install llamaindex\nyarn add llamaindex\n```\n\n### Setup in Node.js, Deno, Bun, TypeScript...?\n\nSee our official document: https://ts.llamaindex.ai/docs/llamaindex/getting_started\n\n### Adding provider packages\n\nIn 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.\n\nFor example, to use the OpenAI LLM, you would install the following package:\n\n```shell\nnpm install @llamaindex/openai\npnpm install @llamaindex/openai\nyarn add @llamaindex/openai\n```\n\n## Playground\n\nCheck out our NextJS playground at https://llama-playground.vercel.app/. 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