The RAG Landscape
To build a RAG application, you need to load data, chunk it, embed it, and retrieve it. Both LangChain and LlamaIndex do this, but with different philosophies.
LangChain: The General Purpose Tool
LangChain is highly composable. It's built around chains and agents, making it great for applications where the LLM needs to make decisions or use multiple tools.
LlamaIndex: The Data Specialist
LlamaIndex is purpose-built for data ingestion and retrieval. It offers advanced indexing strategies (like hierarchical tree nodes and knowledge graphs) that make retrieval much more accurate.
