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LlamaIndexTS
Data framework for your LLM applications. Focus on server side solution
git clone https://github.com/run-llama/LlamaIndexTS
[!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This project is deprecated and no longer maintained.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.
LlamaIndex.TS (Deprecated)
Data framework for your LLM application.
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:
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-playground
Core concepts for getting started:
See our documentation: https://ts.llamaindex.ai/docs/llamaindex/getting_started/concepts
Contributing:
Please see our contributing guide for more information. You are highly encouraged to contribute to LlamaIndex.TS!
Community
Please join our Discord! https://discord.com/invite/eN6D2HQ4aX
// compatibility
| Platforms | api, web |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | MIT |
| Pricing | open-source |
| Language | TypeScript |
// faq
What is LlamaIndexTS?
Data framework for your LLM applications. Focus on server side solution. It is open-source on GitHub.
Is LlamaIndexTS free to use?
LlamaIndexTS is open-source under the MIT license, so it is free to use.
What category does LlamaIndexTS belong to?
LlamaIndexTS is listed under devtools in the Claudeers registry of Claude-compatible tools.
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[](https://claudeers.com/llamaindexts)
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