Mainstream RAG deployments lack a closed learning loop because the corpus does not systematically learn from useful outcomes, failures, contradictions, or identified knowledge gaps.

Three structural problems persist in mainstream RAG deployments:

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

No closed learning loop.

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

The corpus does not learn systematically from what was useful, what failed, what was contradicted, or where knowledge gaps exist.

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf