Mainstream retrieval-augmented generation implementations typically index text in chunks, retrieve by similarity, and pass results to a model without distinguishing whether a retrieved statement is policy, provisional guidance, outdated knowledge, or a contradiction, which limits contextual understanding.

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with limited understanding of whether a retrieved statement is foundational policy, provisional guidance, outdated tribal knowledge, or a direct contradiction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

tional retrieval-augmented generation. Most implementations index

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf