๐ฎย Yesterday we officially launched SuperDuperDB with the release of v0.1. on GitHub ๐ฎ
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.
Yesterdayโs 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.
๐ฆ๐๐ฝ๐ฒ๐ฟ๐๐๐ฝ๐ฒ๐ฟ๐๐ ๐ถ๐ ๐ผ๐ฝ๐ฒ๐ป-๐๐ผ๐๐ฟ๐ฐ๐ฒ. ๐ฃ๐น๐ฒ๐ฎ๐๐ฒ ๐๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐:
โญย *๐๐ฒ๐ฎ๐๐ฒ ๐ฎ ๐๐๐ฎ๐ฟ ๐ผ๐ป ๐๐ถ๐๐๐๐ฏ: * https://github.com/SuperDuperDB/superduperdb
๐ฃย ๐๐ฒ๐น๐ฝ ๐๐ ๐๐ฝ๐ฟ๐ฒ๐ฎ๐ฑ ๐๐ต๐ฒ ๐๐ผ๐ฟ๐ฑ ๐ฎ๐ป๐ฑ ๐๐ถ๐ป ๐๐๐ฎ๐ด ๐ฏ๐ ๐ฟ๐ฒ๐ฝ๐ผ๐๐๐ถ๐ป๐ด ๐๐ต๐ถ๐ ๐ฝ๐ผ๐๐: https://www.linkedin.com/posts/superduperdb_superduperdb-integrating-ai-directly-with-activity-7137754336897449984-zMbV/ ๐ฎ๐ป๐ฑ ๐๐ฎ๐ด๐ด๐ถ๐ป๐ด ๐ฎ๐ป๐๐ผ๐ป๐ฒ ๐๐ต๐ผ ๐ฐ๐ผ๐๐น๐ฑ ๐ฏ๐ฒ ๐ถ๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ฒ๐ฑ ๐ถ๐ป ๐ฆ๐๐ฝ๐ฒ๐ฟ๐๐๐ฝ๐ฒ๐ฟ๐๐ (check the first comment for details).
Check the uses cases that we have already implemented here ๐ https://docs.superduperdb.com/docs/category/use-cases as well as apps built by the community here ๐ย https://github.com/SuperDuperDB/superduper-community-apps and try all of them with Jupyter your browser ๐ย https://demo.superduperdb.com/
For more information about SuperDuperDB and why we believe it is much needed, read the blog post ๐ ย https://docs.superduperdb.com/blog/superduperdb-the-open-source-framework-for-bringing-ai-to-your-datastore/
Top comments (1)
Look Great