AI capability

Enterprise RAG Systems

Build secure enterprise RAG systems that connect private knowledge to traceable AI answers with permission-aware retrieval, evaluation, and citations.

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Problems this capability addresses

Answers need traceable source context
Knowledge spans documents and systems
Access controls must carry into retrieval

Engineering capabilities

Document ingestion
Chunking and indexing
Hybrid retrieval
Evaluation
Citations
Permission-aware access

Intended outcome

A retrieval system designed for answer quality, traceability, operating cost, and controlled access.

Production discipline

Useful AI with explicit controls

We use deterministic systems where they are sufficient and AI where it improves the outcome. Evaluation, access, cost, failure handling, and human review are part of the architecture.

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