Internal documents, past records, historical logs — the institutional knowledge every team relies on. RAG / Knowledge Agent manages embedding and semantic retrieval over all of it, giving every other agent in your orchestration access to it as shared memory.
Documents, past tickets, and logs are embedded and indexed so a query finds what's actually relevant — not just what shares a literal word. Every other agent can query this collection instead of maintaining its own retrieval logic.
Every agent draws on the same institutional knowledge — no drift, no duplicated pipelines.
Documents, records, and logs embedded into one searchable collection.
Every other agent queries the same knowledge base — no duplicated retrieval logic.
Every retrieval comes with a source reference, so answers can be traced and verified.
Access to the knowledge base respects the same RBAC boundaries as everything else.