PostgresML

PostgresML combines your database with machine learning capabilities, letting you run AI models and vector operations right where your data lives. It eliminates the need for separate vector databases and complex microservices by handling embeddings, model training, and LLM integration within PostgreSQL. Developers get faster performance, simpler architecture, and built-in data security while working with familiar SQL syntax.

1. 1

   In-Database ML

   Run models directly in PostgreSQL without data movement

2. 2

   Vector Operations

   10x faster embeddings search with HNSW/IVFFlat indexing

3. 3

   Open-Source Models

   Use Mistral, Llama, and other community models

4. 4

   Colocated Compute

   Embed, store, and process data in single environment

5. 5

   LLM Integration

   Perform NLP tasks using same infrastructure

• 🤖
  Build RAG chatbots with real-time data
• 📊
  Create dynamic recommendation systems
• 📑
  Analyze documents using vector similarity
• 🔒
  Detect fraud through anomaly detection
• 🎯
  Personalize content with ML predictions