Llamaindex

> [!CAUTION]
>
> ## Deprecation Notice
>
> This project is deprecated and no longer maintained.
>
> For LlamaCloud/LlamaParse usage, check out our docs: https://developers.llamaindex.ai/python/cloud/
>
> Thank you to everyone who contributed to and used LlamaIndex.TS.

<p align="center">

</p>
<h1 align="center">LlamaIndex.TS (Deprecated)</h1>
<h3 align="center">
Data framework for your LLM application.
</h3>

![NPM Version](https://www.npmjs.com/package/llamaindex) ![NPM License](https://github.com/run-llama/LlamaIndexTS/blob/main/LICENSE) ![NPM Downloads](https://www.npmjs.com/package/llamaindex) ![Discord](https://discord.com/invite/eN6D2HQ4aX) ![Twitter](https://x.com/llama_index)

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/

Try examples online:

![Open in Stackblitz](https://stackblitz.com/github/run-llama/LlamaIndexTS/tree/main/examples)

What is LlamaIndex.TS?

LlamaIndex.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.

Compatibility

Multiple JS Environment Support

LlamaIndex.TS supports multiple JS environments, including:

Node.js >= 20 ✅

Deno ✅

Bun ✅

Nitro ✅

Vercel Edge Runtime ✅ (with some limitations)

Cloudflare Workers ✅ (with some limitations)

For now, browser support is limited due to the lack of support for AsyncLocalStorage-like APIs

Supported LLMs:

OpenAI LLms

Anthropic LLms

Groq LLMs

Llama2, Llama3, Llama3.1 LLMs

MistralAI LLMs

Fireworks LLMs

DeepSeek LLMs

ReplicateAI LLMs

TogetherAI LLMs

HuggingFace LLms

DeepInfra LLMs

Gemini LLMs

Getting started

npm install llamaindex
pnpm install llamaindex
yarn add llamaindex

Setup in Node.js, Deno, Bun, TypeScript...?

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:

npm install @llamaindex/openai
pnpm install @llamaindex/openai
yarn add @llamaindex/openai

Playground

Check out our NextJS playground at https://llama-playground.vercel.app/. The source is available at https://github.com/run-llama/ts-pl

... [truncated — view full README on GitHub]