Retrieval that grounds answers in your documents, with citations.
What this actually involves
Retrieval quality, not model choice, is what separates a useful assistant from a confident liar. We invest in chunking, hybrid search, reranking and evaluation before reaching for a bigger model.
Answers carry citations back to the source span, permissions are enforced at retrieval time rather than in the prompt, and stale documents fall out of the index automatically.
Ingestion pipelines
Parsing, chunking and enrichment for PDFs, tables, email and scanned records.
Hybrid retrieval
Dense plus lexical search with a reranking stage, tuned against a labelled set.
Permission-aware search
Row-level access enforced in retrieval, never delegated to the prompt.
Grounding & citation
Every claim traced to a source span the user can open.
What lands in your repository
Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.
- Ingestion and re-index pipeline
- Retrieval evaluation set and scores
- Citation-backed answer API
- Freshness and permissions policy
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.