LlamaIndex
Data framework for LLM apps — connects private data to large models and is a standard way to build RAG.
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Our review
LlamaIndex is one of the main open-source frameworks for building RAG (retrieval-augmented generation) apps, providing data connectors, indexing and query orchestration so developers can feed private documents, databases and APIs to large models. It's a core part of the ecosystem alongside LangChain, and the two are often combined.
Open-source and free with an active community, plus LlamaCloud for managed data indexing; for teams that need models to read private data, LlamaIndex is a must-have.
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FAQ
What is LlamaIndex?
Data framework for LLM apps — connects private data to large models and is a standard way to build RAG.
What are the pros and cons of LlamaIndex?
Pros: RAG standard, Open source, Active ecosystem, Rich integrations. Cons: Learning curve, Engineering tuning cost.
How much does LlamaIndex cost?
Open source: Free; LlamaCloud: Per use.
Who is LlamaIndex for?
Best for RAG apps, Private-data Q&A, Knowledge bases, Developers.
What are the alternatives to LlamaIndex?
Consider LangChain.
Pricing
- • Core framework
- • Self-hosted
- • Managed indexing
- • Enterprise support