PostgresML

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.

How to Use

PostgresML can be used through SQL or SDKs in JS and Python. Users can perform tasks like text generation, embedding creation, and vector database operations directly within PostgreSQL. The platform supports various open-source models and allows for fine-tuning LLMs on user data.

Key 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

FAQ

How does PostgresML simplify the AI stack? PostgresML Discord Here is the PostgresML Discord: https://discord.gg/DmyJP3qJ7U. For more Discord message, please click here(/discord/dmyjp3qj7u). PostgresML