\n\n[](https://www.npmjs.com/package/llamaindex)\n[](https://github.com/run-llama/LlamaIndexTS/blob/main/LICENSE)\n[](https://www.npmjs.com/package/llamaindex)\n[](https://discord.com/invite/eN6D2HQ4aX)\n[](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[](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 >= 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/. The source is available at https://github.com/run-llama/ts-playground\n\n## Core concepts for getting started:\n\nSee our documentation: https://ts.llamaindex.ai/docs/llamaindex/getting_started/concepts\n\n## Contributing:\n\nPlease see our [contributing guide](CONTRIBUTING.md) for more information.\nYou are highly encouraged to contribute to LlamaIndex.TS!\n\n## Community\n\nPlease join our Discord! https://discord.com/invite/eN6D2HQ4aX\n","readmeFilename":"README.md"}
![\"LlamaIndex](\"https://ts.llamaindex.ai/square.svg\")