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Vector Database

A collection of 3 posts

pgvector vs Qdrant vs Weaviate: Which Vector Database Holds Up at 100M Vectors?

pgvector vs Qdrant vs Weaviate: Which Vector Database Holds Up at 100M Vectors?

Most "vector database benchmark" articles top out at 1 million vectors and call it a day. That's fine for a side project. It's not what production RAG looks like. A real production index for an enterprise documentation corpus, a content recommendation system, or a

Why Vector Databases Are the Missing Piece in Your Self-Hosted AI Stack

Why Vector Databases Are the Missing Piece in Your Self-Hosted AI Stack

You've probably heard the buzz about running your own AI. Maybe you've already got Ollama humming along on a spare machine, serving up Llama or Mistral models. You ask it questions, it gives you answers. Magic. But here's the thing: those local LLMs have

pgvector vs ChromaDB: When to Extend PostgreSQL and When to Go Dedicated

pgvector vs ChromaDB: When to Extend PostgreSQL and When to Go Dedicated

Every developer building AI applications faces this question: should I add vector search to my existing PostgreSQL database, or spin up a dedicated vector database like ChromaDB? The answer depends on what you're building. Let me break it down. What's the Actual Difference? pgvector is a