Retrieval-Augmented Generation

RAG Fundamentals

Combine retrieval with generation.

Architecture

Retriever: find relevant docs. Generator: generate response. Query: combine context.

Implementation

Chunk documents. Embed with vectors. Store in vector DB. Retrieve top-k.

Tools

LangChain: framework. LlamaIndex: data indexing. Chroma, Pinecone: vector stores.

Key Takeaways

1. Retrieve context for LLM
2. Chunk + embed + store
3. LangChain, LlamaIndex help