{"repo":"zentrix-innovative-labs/galaxdb","free":true,"listed":false,"github":"https://github.com/zentrix-innovative-labs/galaxdb","clone":"git clone https://github.com/zentrix-innovative-labs/galaxdb.git","description":"GalaxDB is designed for AI and ML workloads that need more than a traditional database. Instead of stitching together a relational database, a vector store, an embedding API, and a training pipeline, GalaxDB provides all of these capabilities in one binary with a single SQL interface.","language":"Rust","stars":11,"topics":["ai","database","vector-database","vector-search"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"GalaxDB The AI-native database. SQL + vector search + training exports in one system. --- What is GalaxDB? Most AI applications bolt together 3–5 separate services: a relational database, a vector database, an embedding API, an object store, and a data pipeline. GalaxDB replaces all of them with a single binary that speaks PostgreSQL wire protocol. It's still one binary and one dependency to deploy — galaxdb-server is around 60 MB (it statically links the embedded analytical query engine, Apache Arrow, and the Lance training-export format) and galaxdb-sidecar is a separate, optional process for local embedding inference. One connection string. One backup. One monitoring endpoint. Your existing psycopg2 , SQLAlchemy , and pg code works unchanged. --- Quick Start Python — embedded mode (no server, like SQLite) Server mode — multi-client, like PostgreSQL Any PostgreSQL client works — psycopg2 , SQLAlchemy , tokio-postgres , pg (Node.js), JDBC. --- AuroraSQL — SQL Extensions for AI GalaxDB extends standard SQL with AI-native primitives: --- It's a real SQL database Alongside the AI primitives, GalaxDB is a transactional, analytical relational engine — not a vector store with a SQL veneer. Constraints are enforced (a duplicate PRIMARY KEY is rejected with SQLSTATE 23505 , never a silent overwrite), arithmetic errors are typed ( 22012 division-by-zero, 22003 overflow), and the schema is durable — tables, storage modes, and constraints survive a restart. Analytical queries run on an","default_branch":null,"files":null,"tree":[],"storefront":"/r/zentrix-innovative-labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zentrix-innovative-labs/galaxdb/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}