LlamaIndex
A Python framework for loading data, creating document nodes, indexing them, and composing retrieval queries.
Published by LlamaIndex
How to use it
Keep document metadata when splitting source documents into nodes. Inspect retrieved nodes independently of the generated answer to spot misses caused by chunking or filters.
Build a baseline with a small source collection and one retriever, then test any changes against the same questions. Select and configure local models explicitly if the workflow needs to run offline.
- Compatibility
- Python, Local inference, Hosted integrations
- Components
- Document ingestion, RAG pipeline, Retrieval orchestration
- Access
- Local Python framework. Provider integrations can require credentials.
