An open-source vector database designed to be easy to start with, and a common default for local RAG prototypes. It runs embedded in your application or as a server, and needs almost no setup to get going.
An embedded, serverless vector database that stores data in the columnar Lance format and can sit directly on local disk or object storage. It suits file-based, in-process use where you do not want to run a separate database server.
An open-source extension that adds vector similarity search to PostgreSQL, so you can store embeddings alongside your existing relational data with no extra service. The simplest path if you already run Postgres.
A fast, production-grade vector database written in Rust, with strong metadata filtering and a clean operational story. A common choice once a RAG system outgrows a prototype store, and free to self-host under Apache 2.0.
A tiny vector search extension for SQLite, written in C with no dependencies, so it runs anywhere SQLite does, from a server to a phone. A neat fit when you want vector search inside an existing SQLite database with no extra service.