Answers grounded in sources and access rules
Documents pass through extraction, chunking, metadata cleanup and indexing. Retrieval considers language, document type, freshness and the user ACL; answers link to the supporting passages.
Before release we build reviewed questions with expected sources and measure retrieval separately from answer quality. Tests cover insufficient evidence, index updates and document deletion.
Delivery for this capability
Search and grounded answers across documents with citations, access control and evaluation. The working deliverable includes an agreed data model, required interfaces and integrations, access roles, administration workflows, verification of critical operations and operating guidance for the team supporting the solution.
Quality controls
Verification covers permissions, data integrity, mobile scenarios, scale risks and recovery from failure. Acceptance criteria are visible to the customer before implementation begins.
What to prepare before we start
To assess “Enterprise RAG & Knowledge Base Development”, share the objective, current workflow, participants, data sources, required integrations and expected timing. Existing diagrams, API documentation or specifications can be attached to the enquiry. The first discussion separates launch-critical scope from later improvements and establishes how the result will be verified.