Enterprise AI Search
Determine whether your RAG system is accurate, observable and ready for production
SAB Consulting evaluates the search, retrieval, infrastructure and operating layers behind enterprise RAG systems to identify why results are unreliable, slow, difficult to govern or expensive to operate.
The problem with enterprise RAG
A successful prototype does not prove production reliability. Enterprise RAG systems must handle changing content, permissions, retrieval quality, latency, evaluation, model behaviour, observability and operational ownership.
What we assess
- Source-data readiness
- Ingestion and update pipelines
- Chunking and document structure
- Indexing strategy
- Dense, sparse and hybrid retrieval
- Metadata and filtering
- Reranking
- Permissions and access control
- Grounding and citation behaviour
- Evaluation datasets and metrics
- Latency and throughput
- Observability and failure handling
- Infrastructure and model cost
- Operating ownership
What you receive
- Production-readiness assessment
- Retrieval and evaluation findings
- Architecture and reliability risks
- Prioritized improvements
- Observability recommendations
- Implementation roadmap
Frequently asked questions
No. The assessment focuses on the reliability of the enterprise search and retrieval system behind a production RAG use case.
Yes. Search-platform architecture, indexing and performance can be included.
Related services
Start with a focused assessment
Share the platform, cost or reliability problem you are trying to solve. SAB Consulting will help define the right assessment, the evidence required and the practical next step.