Enterprise Knowledge
RAG-based enterprise knowledge platform
Historical documents and process data turned into a queryable knowledge base for internal AI assistants — with controlled access.
RAG
reliable, sourced answers
Access control
permission-bound knowledge
Governance
over sources & answers
Challenge
Documents and process data accumulated over years were effectively un-searchable. The goal: a knowledge base that internal AI assistants can answer from reliably and with controlled access.
Approach
- 01Structured historical documents and process data into a queryable form.
- 02RAG (retrieval-augmented generation) pipeline as the foundation for internal AI assistants.
- 03Access control over the knowledge base so answers are bound to permissions.
- 04Governance over sources and answers for traceable results.
Outcome
A platform that enables enterprise-wide AI queries grounded in reliable knowledge — with governance controls over access to that knowledge.
Technology
RAGVector searchLLM assistantsAccess controlGovernance
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