Seonglae ChoCorrective
arxiv.org
https://arxiv.org/pdf/2401.15884.pdf
Self-reflective iterative retrieval
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/
arxiv.org
https://arxiv.org/pdf/2310.11511.pdf