rag

RAG: make enterprise knowledge safely usable by AI

RAG connects a request with relevant approved knowledge passages and adds source context.

Retrieve first, then work with context

RAG finds relevant passages in a curated collection and provides them as working context. This can ground answers and agent work more firmly in enterprise knowledge.

A knowledge system needs owners

Sources require approval, validity, access rules and accountable business teams. Missing or conflicting evidence must be visible rather than masked by false certainty.

  • curated sources
  • role-based access
  • source context
  • maintenance process

Which process should work better in your organisation?

We begin with the work, the people and the current process — then assess which form of AI genuinely makes sense.

Discuss your process