SuperDuperDB helps integrate any ML models & AI APIs into your databases for streaming inference, training & vector search. No complex pipelines needed. Just simple Python.
SuperduperDB is an open-source Python framework that enables seamlessly integrating artificial intelligence capabilities into existing databases like MongoDB, Postgres, MySQL etc.
👩💻 Brings any Python ML model or API into databases with a simple wrapper
✨ In-DB model training, streaming inference and vector search
⚡️ Chains models into workflows using Python only
🧩 Flexible data types beyond text - images, video, audio etc.
📦 Single environment from dev to production without duplication
SuperduperDB eliminates the need for specialized vector databases or complex MLOps pipelines. Its versatile interface delivers a smooth experience for building end-to-end AI applications directly leveraging your existing data infrastructure.
Whether you want to enable vector similarity search on databases or operationalize models at scale, SuperduperDB makes the process intuitive and hassle-free. Check out the documentation and demo notebooks to see it in action!
- ⚡️SuperduperDB dramatically accelerates building end-to-end AI apps by integrating models directly into databases - no migration or duplication needed. Reduced overhead enables faster experimentation.
- 👩🔬 Streamlining capabilities like in-DB training, streaming inference, and vector search using simple Python minimizes the specialized skills needed. Democratization drives broader innovation.
- 🧩 Chaining multiple models into Python workflows without added infrastructure complexity enhances extensibility and transparency—modular architecture matters.
- 🌈 Support for diverse data types beyond text expands the horizons of possible applications AI engineers can develop. Broad applicability creates new opportunities.
- 📈 A single-managed environment from initial prototyping to full-blown production reduces operations overhead. A smoother path to productionization means more impact.
In summary, by simplifying the process of enhancing databases with AI capabilities, SuperduperDB empowers engineers to take ideas swiftly from conception to operationalization in real-world systems.
- 👷🏽♀️ Builders: Timo Hagenow, Duncan Blythe, Tom Ritchford, Fotis Nikolaidis
- 👩🏽💼 Builders on LinkedIn: https://www.linkedin.com/in/timohagenow/, https://www.linkedin.com/in/duncan-blythe-71877312b/, https://www.linkedin.com/in/tomritchford/, https://www.linkedin.com/in/fotis-nikolaidis-444a6634/
- 👩🏽🏭 Builders on X:
- 👩🏽💻 Contributors: 21
- 💫 GitHub Stars: 411
- 🍴 Forks: 56
- 👁️ Watch: 9
- 🪪 License: Apache-2.0
- 🔗 Links: Below 👇🏽
- GitHub Repository: https://github.com/SuperDuperDB/superduperdb
- Official Website: https://superduperdb.com/
- LinkedIn Page: https://www.linkedin.com/company/superduperdb/
- X Page: https://twitter.com/superduperdb
- Profile in The AI Engineer: https://github.com/theaiengineer/awesome-opensource-ai-engineering/blob/main/libraries/superduperdb.md
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