5,357,309 AI resources indexedWorking toward the world’s largest AI resource index.

LlamaIndex

A Python framework for loading data, creating document nodes, indexing them, and composing retrieval queries.

Published by LlamaIndex

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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.
Official resource