Company knowledge
Enterprise search and grounded RAG
Give teams permission-aware answers grounded in approved company content, with citations, freshness controls, and measurable retrieval quality.
Operating problem
Company knowledge is often fragmented across drives, wikis, shared mailboxes, and business systems. A credible answer must preserve access boundaries and show its evidence.
Useful first outcomes
- Faster knowledge access
- Cited, permission-aware answers
- Defined content ownership
- Measured retrieval and answer quality
Delivery pattern
- 1Map sources, owners, permissions, and freshness
- 2Design parsing and hybrid retrieval
- 3Create representative questions and expected evidence
- 4Launch to a bounded group with feedback and review
Controls built into scope
- Source-level permission trimming
- Citations for consequential answers
- Prompt-injection and stale-content tests
- Abstention when evidence is insufficient
Services that support this use case
Enterprise Knowledge Base & RAG
Turn governed company content into permission-aware search and grounded agent answers with citations, freshness controls, and measurable retrieval quality.
Explore serviceMicrosoft Fabric + AI
Build governed OneLake, lakehouse, warehouse, semantic-model, and Fabric data-agent foundations that make analytics and AI easier to use securely.
Explore serviceAI Evaluation & Observability
Measure groundedness, task completion, tool use, safety, latency, and cost before release, then trace and monitor quality in production.
Explore service