PostgreSQL

RAG Series – Embedding Versioning with pgvector: Why Event-Driven Architecture Is a Precondition to AI data workflows

Introduction “Make it simple.” This is a principle I keep repeating, and I’ll repeat it again here. Because when it comes to keeping your RAG system’s embeddings fresh, the industry has somehow made it complicated. External orchestrators, custom Python(…)

RAG, MCP, Skills — Three Paradigms for LLMs Talking to Your Database, and Why Governance Changes Everything

Introduction Throughout my RAG series, I’ve explored how to build retrieval-augmented generation systems with PostgreSQL and pgvector — from Naive RAG through Hybrid Search, Adaptive RAG, Agentic RAG, and Embedding Versioning (not yet(…)

Oracle to PostgreSQL Migration with Flink CDC

Introduction When wanting to migrate from the big red to PostgreSQL, most of the time you can afford the downtime of the export/import process and starting from something fresh. It is simple and reliable. Ora2pg being one of the(…)

PostgreSQL 19: Two nice little improvements: log_autoanalyze_min_duration and search_path in the psql prompt

Two nice little improvements have been committed for PostgreSQL 19. The first one is about logging the duration of automatic analyze while the second one is about displaying the current search_path in psql’s prompt. Lets start with the(…)

RAG Series – Agentic RAG

Introduction In earlier parts, we moved from Naive RAG (vector search) to Hybrid RAG (dense + sparse) to Adaptive RAG (query classification and dynamic weighting). Each step improved what we retrieve. Agentic RAG goes further: the LLM decides if(…)

pgconf.eu 2025 – RECAP

I was fortunate to be able to attend at the pgconf.eu 2025. This year event was happening in RIGA and joined together once again key members of the community, contributors, committers, sponsors and users from across the world.

RAG Series – Adaptive RAG, understanding Confidence, Precision & nDCG

Introduction In this RAG series we tried so far to introduce new concepts of the RAG workflow each time. This new article is going to introduce also new key concepts at the heart of Retrieval. Adaptive RAG will allow(…)

RAG Series – Hybrid Search with Re-ranking

Introduction In the first part of this RAG series, we established the fundamentals of Naive RAG with dense vector embeddings on PostgreSQL using pgvector. That foundation works well for conceptual queries, but production systems quickly reveal a limitation:(…)

RAG Series – Naive RAG

Introduction Since my last series on pgvector I had quite a fun time to work on RAG workflows on pgvector and learned some valuable lessons and decided to share some of it in a blog post series on the(…)

PostgreSQL CDC to JDBC Sink – minimal event driven architecture

Introduction “Make it simple.” When you have to create a solution, design an architecture, you should always take the simplest path, this is often the better solution proven by field knowledge and experiences of not scalable patterns. Which means(…)