Choosing Between pgvector and a Dedicated Vector Database
When native vector search inside PostgreSQL is enough, and when the scale or feature needs of a workload justify a dedicated vector database instead.
Explainer-style articles that go one level deeper than the news. how a specific technology or pattern actually works, and why it matters in practice.
A step-by-step walkthrough of retrieval-augmented generation: chunking, embedding, vector storage, retrieval, and grounded generation. and why it cuts hallucination rates in production systems.
When native vector search inside PostgreSQL is enough, and when the scale or feature needs of a workload justify a dedicated vector database instead.
A practical look at how eBPF programs run safely inside the Linux kernel, and why that unlocks observability and networking features that used to require kernel modules.
What it takes to self-host a capable open-weight LLM, the hardware trade-offs involved, and when local inference makes more sense than a hosted API.