Enterprise RAG Platform
Enterprise RAG Platform
Permission-aware retrieval with governed ingestion, citations and measurable answer quality.
Enterprise AI
The Engineering Challenge
Enterprise knowledge is fragmented, access-sensitive and difficult to retrieve reliably through generic AI interfaces.
Our Approach
Design document ingestion and retrieval around source permissions. Evaluate retrieval and answer quality separately, retain source references and provide an explicit path when evidence is insufficient.
Design Scope
- Data source and permission assessment
- Versioned ingestion and indexing pipeline
- Retrieval and grounded response services
- Evaluation, audit and usage controls
Reference Architecture
- 01Users
- 02API gateway
- 03Authentication
- 04Guardrails
- 05RAG service
- 06Vector search
- 07LLM
Production Considerations
Agree identity and data boundaries, deployment ownership, recovery objectives and acceptance criteria before implementation. Validate failure modes in a representative environment, instrument the critical paths and document rollback and recovery. Technology choices and capacity planning should follow workload evidence rather than the diagram alone.
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