Postgresml
To be verifiedPostgresML 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.
MLOps platform as a PostgreSQL extension for building ML models inside the database.
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postgresml.org/
What is Postgresml?
MLOps platform as a PostgreSQL extension for building ML models inside the database.
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
Popular Use Cases
- RAG (Retrieval Augmented Generation)
- Search
- Chatbot
- Text Generation
- Embeddings
- Vector Database
- Supervised Learning
Feature Comparison
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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.
Pricing
Postgresml uses a freemium pricing model. Pricing and features may change over time.
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