APPROVED KNOWLEDGE · TRACEABLE ANSWERS
Retrieval-augmented generation (RAG) finds relevant source material before a model drafts an answer. We build that path around your team’s questions, with evidence people can inspect and clear behaviour when the available material cannot support an answer.
Discuss your knowledge workflowTHE BUSINESS NEED
A search result may be relevant but outdated, incomplete or unavailable to the person asking. A generated answer may cite a real document without supporting the claim. Retrieval, permissions and answer evaluation therefore need to be designed together.
Start with a bounded collection and recurring questions. A policy assistant, an internal research tool or a document-review workspace may need different retrieval and review rules. These are proposed use cases, not published client results; the scope determines which sources, languages and integrations are supported.
Inventory approved collections, owners, versions and refresh requirements. Define parsing, document sections, metadata and search methods around representative questions. Preserve identifiers so each retrieved passage can be traced to its source and version.
Connect retrieval to the agreed user and document permissions. Test that restricted content cannot appear in retrieved passages, answers or citations. Define access revocation, deletion and refresh behaviour, including indexes and cached results where present.
Show references that support each answer and distinguish source text from generated explanation. Define when to say there is insufficient evidence, ask a clarifying question or escalate to a person. Test conflicting and superseded documents as well as missing sources.
Create an agreed question set with relevant source passages and expected outcomes. Measure retrieval coverage, citation support and answer usefulness separately. Include restricted, unanswerable and misleading requests; review failures before accepting a release.
Connect the approved knowledge workflow to an existing application or a scoped interface. Check latency, usage costs and provider failure behaviour. Begin with a limited collection and audience; compare changes against the baseline before adding sources or tools.
Provide the configuration, test evidence and operating documentation in scope. Assign owners for document updates, access changes and incidents; agree monitoring, retention and support. Document how to rebuild an index, withdraw a source and roll back a failed release.
Citations make evidence inspectable; they do not guarantee that every answer is correct. RAG cannot recover information absent from the approved sources, and access controls require testing with the selected systems. Human review remains part of high-consequence decisions. We agree deliverables, source coverage, languages, ownership, hosting and ongoing costs before implementation. Do not send confidential source documents through the initial enquiry form.
Start with the challenge. We will help identify the right next step.