LLM framework for connecting private data
Introduction
LlamaIndex is the framework focused on 'connecting your data to LLMs': the RAG pipeline — parsing, chunking, indexing, retrieval — is its core strength, with a connector ecosystem spanning data sources. When the app is fundamentally 'make the model read your private data,' it fits better than LangChain.
Key Features
- Complete RAG pipeline
- Dozens of data connectors
- Multiple index structures and retrieval strategies
- Agents and query engines
- Evaluation toolkits
Pros
- Deepest RAG-scenario strength
- Rich data connectors
Cons
- General agent scene trails LangChain
Pricing
Framework is open-source; LlamaCloud is usage-based.（See official site for current pricing）
FAQ
Usable with LangChain?
Yes, components interoperate.
What is LlamaParse?
A cloud service specialized in PDF/complex doc parsing.
Start with it as a beginner?
Yes for the RAG path — concepts are more focused.
Related Sites
Collected on lucifer.city · Reviewed by the founder