PostgresML

What it does

PostgresML is a complete MLOps platform implemented as a PostgreSQL extension. It allows users to build fast, simple, and powerful machine learning models directly within their database. It offers GPU-powered Postgres databases for building AI applications, enabling tasks like vector embedding, real-time output generation, and more. PostgresML simplifies the AI stack by integrating various components like vector databases, embedding models, and LLMs into a single system.

Core features

• ✦Build and deploy ML models directly within PostgreSQL
• ✦GPU-powered Postgres databases for AI applications
• ✦Vector embedding and real-time output generation
• ✦Integration with open-source models (Mistral, Llama, etc.)
• ✦Support for SQL and SDKs in JS and Python

Use cases

• →RAG (Retrieval Augmented Generation)
• →Search
• →Chatbot
• →Text Generation
• →Embeddings
• →Vector Database
• →Supervised Learning