llama_index

Why we included this project

LlamaIndex is a Python framework for wiring your own data into a large language model. It handles the unglamorous plumbing that usually eats up weeks of engineering time: pulling documents from dozens of sources, chunking and indexing them, and setting up retrieval so a model answers from your content instead of guessing. Beyond that core RAG flow, it ships an agent toolkit for multi-step workflows where a model calls tools, queries data sources, and coordinates sub-agents. The ecosystem of integration packages is large, which matters if you want to keep control of your stack rather than hand it to a hosted service. Document Q&A, knowledge assistants, and agents that act on your data are the obvious use cases, and this is one of the more mature frameworks for them.