Corrective Rag With Automatic Retrieval Quality Assessment

via “corrective and hybrid rag with relevance grading and multi-strategy retrieval”

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

Unique: Provides implementations of corrective RAG (with relevance grading and query reformulation) and hybrid RAG (combining vector and keyword search) with explicit trade-offs between quality and latency. Demonstrates how to define and implement relevance criteria. Most RAG tutorials show only basic vector search; this library treats quality improvement as a design pattern.

vs others: More sophisticated than basic RAG but with documented latency costs; more practical than academic RAG papers with working code