A SQLite extension for efficient vector search, based on Faiss! - asg017/sqlite-vss
Local AI with Postgres, pgvector and llama2, running inside a Tauri app with realtime sync powered by ElectricSQL 🤯 This is the architecture of the future!
Explore the differences between vector engines and vector databases, learn their unique benefits, and discover how to integrate them into your existing data engineering landscape without creating parallel stacks.
Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon. If you can make it through that jargon, they unlock powerful and exciting techniques …
On any blog, it’s really common to link to related posts near the end of an article. It keeps readers on your website by linking...
Recently I learned about a new kind of search called Vector Search or Semantic Search. This is a search technique that tries to find documents that match the meaning of the user’s search term instead of trying to match keywords like a Full Text Search (FTS). I wanted to try Semantic Search for my blog. I came across Alex Garcia’s post about a new SQLite extension for Vector Search called sqlite-vss.
SQLite is my database engine of choice for simple, no-frills stuff, and has of late become popular enough for me not to have to bother compi...