Self-Reflective RAG with LangGraph
Key Links * Cookbooks for Self-RAG and CRAG * Video Motivation Because most LLMs are only periodically trained on a large corpus of public data, they lack recent information and / or private data that is inaccessible for training. Retrieval augmented generation (RAG) is a central paradigm in LLM application development to address
https://blog.langchain.dev/agentic-rag-with-langgraph/
Seonglae Cho
