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LlamaIndexTS

Data community

Description

Data framework for your LLM applications. Focus on server side solution

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

[!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**This project is deprecated and no longer maintained.**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.

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LlamaIndex.TS (Deprecated)

Data framework for your LLM application.

[![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://github.com/run-llama/LlamaIndexTS/blob/main/LICENSE) [![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) [![Twitter](https://img.shields.io/twitter/follow/llama_index)](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://developer.stackblitz.com/img/open_in_stackblitz.svg)](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](https://github.com/tc39/proposal-async-context)

Supported LLMs: