Production RAG Systems

I build RAG for real workflows: hybrid search, domain-specific rerankers, and data hygiene pipelines paired with observability and evals. Every deployment ships with citations, audit trails, and explicit governance boundaries.

• 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

• Measure retrieval and answer quality against domain-specific test sets
• Reduce rework with cited, evidence-backed responses
• Lower inference cost via caching, batching, and adaptive routing

Reference stack