Production RAG Systems

We build RAG that survives real users: hybrid search, domain-specific rerankers, and data hygiene pipelines paired with observability and evals. Every deployment ships with citations, audit trails, and governance guardrails.

• Hybrid retrieval with dense + sparse search and reranking
• Data pipelines for ingestion, PII scrubbing, and chunking tuned to domain
• Citations, source-grounding, and audit trails by default
• Evaluation harnesses for accuracy, latency, and safety signals

Expected outcomes

• 95%+ answer accuracy on governed corpora (legal/health/finance)
• Reduced denials and rework with evidence-backed responses
• Lower inference cost via caching, batching, and adaptive routing

Reference stack