Framework Comparison
LangChainvsLlamaIndex
A conceptual overview to help you plan your own AI/ML evaluation
Quick Summary
LangChain
Complex LLM applications
LlamaIndex
RAG and data retrieval applications
LangChain
Pros
- + Comprehensive tooling
- + Large community
- + Many integrations
Cons
- - Can be complex
- - Rapid changes
Key Features
ChainsAgentsMemoryTools
LlamaIndex
Pros
- + RAG focused
- + Simple API
- + Data connectors
Cons
- - Narrower scope
- - Less agent support
Key Features
IndexingRetrievalData loaders
When to Use Each
Choose LangChain if:
Complex LLM applications
Choose LlamaIndex if:
RAG and data retrieval applications
Master Both Technologies
Learn LangChain and LlamaIndex through our interactive courses and hands-on projects.