Supporting capability
Answer questions with the source material in view.
We build retrieval-augmented generation systems that search an approved knowledge base and return answers with supporting source references.
Prepare the knowledge base
Identify the authoritative documents, access rules and update process. Parse and split material with enough context for retrieval. Preserve source identifiers and permissions throughout ingestion.
Retrieve and evaluate
Test retrieval separately from answer generation using real user questions. Compare keyword, vector and combined approaches where useful. Check whether the answer is supported and whether the cited passage actually matches the claim.
Handle gaps and access
When evidence is missing or conflicting, return a limitation or route to a person. Enforce document permissions before retrieval and manage updates and removals. Evaluate changes to models, prompts and indexes before production.
Where this fits
Source citations help verification but do not guarantee a correct answer. This service supports knowledge access, not unattended high-stakes decisions or structured extraction from every document.
Operations automation: see the wider workflowEvidence and further reading
See this in an industry workflow
Explore proposed applications and fictional demos. These are not claims of completed projects in those industries.
- Specialty distribution
RFQs, order entry, catalog data and sales operations with human review.
RFQ-to-quote demo
Define the scope before committing to a build.
Start with a free conversation about your requirements. A well-defined project can go straight to a proposal. If we need to investigate the data, systems or risks first, we quote discovery separately. Implementation, usage fees and support depend on the agreed scope.