Self-Correcting RAG with Iterative Retrieval Refinement

A production-ready RAG system that detects retrieval failures and autonomously refines queries before generating answers.

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The problem it solves

Standard RAG systems are blind to retrieval failures. If search returns irrelevant chunks, the LLM generates a hallucinated answer using that bad context. This system detects poor retrieval and automatically retries with a better query before answering.

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