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Self-Reflective RAG with LangGraph
Feb. 7, 2024, 4:47 p.m. | Ankush Gola
LangChain blog.langchain.dev
Key Links
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
application data information key llm llms paradigm private data public public data rag retrieval retrieval augmented generation training
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