knowledge-base

To stop duplicating research, agents can query an indexed organizational knowledge base using semantic search before initiating any external research, retrieving prior answers and named-entity context to reuse existing findings.

RAG-based QA with an organizational knowledge base works by running a retrieval query against indexed org facts and stored research findings first, allowing agents to answer natural-language questions using existing context before searching externally.

Yes, you can separate research collections by ingesting substantial findings into either a shared scope for everyone or a private scope for your own agent-specific work within the knowledge base.

The best way to persist new research findings into agent memory is by ingesting substantial results into the knowledge base, storing them so future agents can cite and reuse the context across the fleet.

Yes, you need to initialize the knowledge base once for a new organization before querying existing org facts, avoiding re-initialization while ensuring the retrieval and ingestion scopes are properly set up.

You should avoid using an organizational knowledge base for research automation when you only need trivial or transient answers, as it is designed specifically to persist and retrieve substantial findings across agent workflows.