ENTERPRISE KNOWLEDGE & RAG

Enterprise Knowledge & RAG

RAG is one component of enterprise knowledge architecture — not the strategy itself.

Permission-awareSource attributionEnterprise searchAgent knowledge access
Design a Knowledge ArchitectureSee Private AI Coverage

Why RAG alone isn't a strategy

Constraints we design around from the start.

  • Retrieval that ignores document permissions leaks exactly the data access controls were meant to prevent.
  • Answers without source attribution are hard to trust and impossible to audit.
  • An index that goes stale quietly becomes an index that quietly misleads.
  • Every new data connector is a new access-control surface, not just a new data source.
  • Agents need the same permission-aware knowledge access as people — nothing more.

What Enterprise Knowledge & RAG covers

The layer that makes retrieval trustworthy enough for production.

Permission-Aware Retrieval

Search and retrieval scoped to what the requesting user or agent is actually allowed to see.

Source Attribution

Every answer traceable back to the specific document or record it came from.

Freshness & Indexing

Indexing pipelines that keep retrieval current as source documents change.

Data Connectors

Structured ingestion from the systems your knowledge actually lives in.

Access Control

Retrieval permissions that mirror your existing document and system access rules.

Evaluation

Ongoing measurement of retrieval accuracy and answer quality.

Enterprise Search

Search across your own knowledge base, not just a chatbot wrapper.

Agent Knowledge Access

The same permission-aware retrieval layer, available to agents as well as people.

Common questions

Questions people usually ask about Enterprise Knowledge & RAG

Isn't RAG just a vector database?

No. A vector database is one component. Enterprise RAG also needs permissions, attribution, freshness, and evaluation to be trustworthy in production.

Can retrieval respect our existing document permissions?

Yes — retrieval is scoped to match your existing access control rules, not a separate parallel permission system.

Do agents get the same knowledge access as employees?

Agents use the same permission-aware retrieval layer — scoped to what that specific agent or workflow is allowed to see.

Design a knowledge architecture

Tell us where your knowledge actually lives.

We'll design retrieval around your real documents, systems, and access rules — not a generic RAG demo.

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