Service
RAG Infrastructure Consulting
I optimize retrieval quality, precision grounding, querying latency, and user trust for knowledge-heavy, vector-driven AI systems.
Engagement
Built for outcomes, not hours.
pgvector, hybrid search, metadata filters, contextual retrieval, long-term memory, reranking, and retrieval evaluation.
Business outcomes
- Design hybrid retrieval and pgvector indexing strategy
- Improve chunking, ranking, grounding, and answer quality
- Create evaluation datasets and regression loops for RAG
Ideal client
Teams whose AI product depends on domain knowledge and retrieval quality.
Work With Me
Need rag infrastructure support?
Bring the hard system constraint: retrieval quality, agent failure modes, latency, evaluation, deployment topology, or technical market education.