cRAG Implementing Corrective RAG with LangChain & LangGraph Corrective RAG enhances retrieval accuracy by refining AI responses. This guide shows how to implement it using LangChain & LangGraph to reduce hallucinations, improve reliability, and build more accurate RAG systems with structured workflows.
cRAG Implementing Corrective RAG (cRAG) to Prevent Hallucinations Corrective RAG (cRAG) helps prevent AI hallucinations by enhancing retrieval accuracy and refining generated responses. This guide explores key techniques, implementation strategies, and best practices to ensure reliable and fact-based AI outputs.
