Mainstream retrieval-augmented generation systems typically index text in chunks, retrieve by similarity, and pass results to a model without distinguishing whether retrieved statements are policy, guidance, outdated knowledge, or contradictions, which is inadequate in regulated or operational settings.

Most implementations index text in chunks, retrieve based on similarity, and pass the result into a model

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

with limited understanding of whether a retrieved statement is foundational policy, provisional guidance, outdated tribal knowledge, or a direct contradiction

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

In low-risk use cases this may be acceptable.

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

In regulated or operational settings, it is not.

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf