Retrieval-augmented generation architecture, evaluation and enterprise search.
A practical guide to agentic RAG — multi-step retrieval, query planning and self-correction — how it differs from standard RAG, when the added complexity is justified, and what it costs to build.
A practical comparison of vector database options for RAG applications — managed services, self-hosted vector databases, and Postgres extensions — with the tradeoffs that actually matter at real scale.
A practical RAG development guide: architecture, chunking and retrieval strategy, guardrails and evaluation, cost by maturity level, common mistakes, and when RAG isn't the right approach.
A technical guide to enterprise RAG architecture: connectors and ingestion, permission-aware retrieval, RBAC and tenant isolation, guardrails, evaluation, observability, and a production-readiness checklist.