🚀 Implement semantic search in #Postgres in just 15 minutes. Pure SQL, no ML expertise needed.
🐘 Use pgml and pgvector extensions
🔢 Convert text to embeddings
⚖️ Measure vector similarity
📈 Optimize with HNSW indexes
👇
dlvr.it/TFZyVt
#AIsearch #databasedev
Postgres with GPUs for ML/AI apps
🦉 postgresml.org
⭐ github.com/postgresml
💬 discord.com/invite/DmyJP3q…
- How to build a better search engine for @ycombinator job listings 🧠💻 Our guide shows you how to: 1⃣ Extract structured data from job listings 2⃣Create semantic embeddings for intelligent matching 3⃣Perform context-aware searches beyond simple keywords Powered by
- PostgresML now supports Llama 3.2 🦙 🦉 Free for all Serverless Database users 🐘 Bring models to your data, not vice versa ✨ Smaller models, bigger capabilities Read on in the blog: [dlvr.it/TDlprd dlvr.it/TDlprh
- Ever wondered how RAG works inside a database? Check out our latest chatbot ➡️ It performs RAG over all of Wikipedia, using open-source models directly in Postgres. ✨Full RAG workflow in one SQL query 🐘In-database processing 🌎100% open-source Try it:
- 🚀 postgresml-django Seamlessly integrate ML/AI with #django ORM ✨ Automatic in-database embeddings 🔍 Vector similarity search 🧠 ML-powered Django projects Try it now, let us know what you think.

