# llama_index

**Licence:** MIT  |  **Language:** Python  |  **Source:** https://github.com/run-llama/llama_index

## Role in the stack

RAG and document pipeline framework

## Why it's here

Turns documents into a queryable index and wires retrieval into your model. The most direct path to a working RAG pipeline.

## Using it

See the project README in the fetched source:

```bash
./fetch-sources.sh ./sources
tar xzf ./sources/llama_index.tar.gz -C ./sources
```

This component is a library, not a service - install it into your own application environment.