AI Knowledge Base

Ground AI in the sources your company already trusts.

Katara keeps retrieval tied to approved documents, systems, and permissions so AI can answer from the right context without turning every team into a new knowledge platform.

For technical teams, this is the retrieval layer. For business, security, and compliance teams, it is the place where AI is limited to the information it is allowed to use.

PoliciesDocsTicketsWikis
Approved answerOnly the sources in scopePermissions, retention, and source boundaries stay attached to every retrieval path.
For technical teams

Connect sources once, apply policy everywhere.

Point Katara at approved sources, define which users and applications can retrieve from them, and keep the retrieval boundary consistent across assistants, workflows, and internal apps.

For non-technical teams

Make AI rely on the right information, not the nearest file.

When someone asks a question, Katara keeps the answer grounded in trusted company knowledge instead of whatever happens to be easiest for the model to reach.

How it works

Katara turns retrieval into a controlled path, not a loose search box.

Each request is evaluated against org scope, permissions, and policy before approved knowledge is surfaced to the agent or application.

RequestApp, agent, or user questionStarts with the context the team already has.
Katara AI Knowledge BasePolicy-aware retrievalScope, permissions, and approved sources are checked before results are assembled.
ResponseGrounded answer with traceabilityTeams can see what was used, why it was allowed, and where it came from.

Why teams use it

Better answers without opening the door to ungoverned knowledge sprawl.

  • Restrict retrieval to approved sources
  • Keep source boundaries attached to users and apps
  • Reduce stale or out-of-scope answers
  • Support audit and compliance review