🔮 Yesterday we officially launched SuperDuperDB with the release of v0.1. on GitHub 🔮

SuperDuperDB is an open-source framework for integrating AI directly with major databases, including streaming inference, scalable model training, and vector search.

SuperDuperDB is not a database. SuperDuperDB eliminates complex MLOps pipelines, specialized vector databases - and the need to migrate and duplicate data by integrating AI at the data's source, directly on top of your existing data infrastructure. This massively simplifies building and managing AI applications.

Currently Supported AI: Any model from PyTorch, Sklearn, HuggingFace as well as AI APIs such as OpenAI, Anthrophic, Cohere.

Yesterday’s release comes with the full integration of major SQL databases as well as further MongoDB support: PostgreSQL, MySQL, SQLite, DuckDB, Snowflake, BigQuery, ClickHouse, DataFusion, Druid, Impala, MSSQL, Oracle, pandas, Polars, PySpark, and Trino.

𝗦𝘂𝗽𝗲𝗿𝗗𝘂𝗽𝗲𝗿𝗗𝗕 𝗶𝘀 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲. 𝗣𝗹𝗲𝗮𝘀𝗲 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘂𝘀:

⭐ *𝗟𝗲𝗮𝘃𝗲 𝗮 𝘀𝘁𝗮𝗿 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: * https://github.com/SuperDuperDB/superduperdb

📣 𝗛𝗲𝗹𝗽 𝘂𝘀 𝘀𝗽𝗿𝗲𝗮𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝗱 𝗮𝗻𝗱 𝘄𝗶𝗻 𝘀𝘄𝗮𝗴 𝗯𝘆 𝗿𝗲𝗽𝗼𝘀𝘁𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗽𝗼𝘀𝘁: https://www.linkedin.com/posts/superduperdb_superduperdb-integrating-ai-directly-with-activity-7137754336897449984-zMbV/ 𝗮𝗻𝗱 𝘁𝗮𝗴𝗴𝗶𝗻𝗴 𝗮𝗻𝘆𝗼𝗻𝗲 𝘄𝗵𝗼 𝗰𝗼𝘂𝗹𝗱 𝗯𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗦𝘂𝗽𝗲𝗿𝗗𝘂𝗽𝗲𝗿𝗗𝗕 (check the first comment for details).

Check the uses cases that we have already implemented here 🔗 https://docs.superduperdb.com/docs/category/use-cases as well as apps built by the community here 🔗 https://github.com/SuperDuperDB/superduper-community-apps and try all of them with Jupyter your browser 🚀 https://demo.superduperdb.com/

For more information about SuperDuperDB and why we believe it is much needed, read the blog post 👉  https://docs.superduperdb.com/blog/superduperdb-the-open-source-framework-for-bringing-ai-to-your-datastore/