Overview

Open-source framework that lets AI capabilities run directly inside existing databases, avoiding complex MLOps pipelines and data migrations. It integrates with major databases (MongoDB, PostgreSQL, MySQL, Snowflake, BigQuery) and AI tools, letting developers deploy models, AI APIs, vector search, and real-time inference inside the database with Python-based, minimal-code workflows. Its focus on in-database AI, broad compatibility, and open-source nature helps reduce data movement and bespoke MLOps, setting it apart from others. The goal is to simplify how organizations build and operate AI with their data by bridging AI and databases, enabling secure, efficient, and rapid AI development near the data, with an enterprise option to deploy at scale across cloud or on-prem environments.