RAG & Enterprise Knowledge

Your organisation already holds the answers, spread across a document system, a wiki, a shared drive and a decade of email. We build the layer that makes that material answerable: ingestion and chunking suited to the documents you actually have, an index that respects the permissions already on them, and answers that cite the passage they came from.

Quality here comes from unglamorous work. We audit the corpus before indexing it: what is authoritative when two documents disagree, what is duplicated, what nobody has updated in years. Where a source is not fit to answer from, we say so rather than indexing it and hoping.

The result is something people use — enterprise search, a chat-with-your-data interface for one team, or a retrieval service other applications call. Each ships with a test set of real questions from the staff who asked them, so answer quality is something you watch rather than assume.