PostgresML | Machine Learning in Postgres

PostgresML

3 | 166 | 0
Type:
Open Source Projects
Last Updated:
2025/07/08
Description:
Build AI apps in minutes with a GPU-powered Postgres database.
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PostgresML
machine learning
database
vector database

Overview of PostgresML

PostgresML is an open-source machine learning extension for PostgreSQL that enables you to build AI applications directly within your database. It simplifies the AI stack by integrating vector databases, embedding models, and LLMs, eliminating the complexity of managing multiple microservices. With PostgresML, you can perform vector operations 10x faster, generate embeddings efficiently, and save on vector database costs. It offers comprehensive features for indexing, filtering, and re-ranking vector embeddings, along with built-in data preprocessors for splitting and chunking. Supporting various open-source models like Mistral and Llama, PostgresML allows you to perform NLP tasks, fine-tune LLMs, and monitor model deployments, all within a secure and private environment. Experience the power of collocated data and compute, simplifying AI development and deployment with PostgresML.

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