RAG PIPELINES & VECTOR DBS

Grounded AIthat retrieves well.

Retrieval-augmented pipelines for teams that want their AI answers anchored to business context and real source material.

Structured intake from PDFs, docs, knowledge bases, and mixed operational sources.

Retrieval-oriented preprocessing designed for relevance instead of naive document slicing.

Pinecone, pgvector, Qdrant, or similar stores selected for the actual product need.

Prompting, ranking, and context assembly improved for higher-quality grounded answers.

Testing, observability, and retrieval checks that reduce hallucination risk.

RAG connected into chat interfaces, internal tools, CRMs, ERPs, and support experiences.