SuperDuperDB is a powerful tool designed to streamline the development of AI applications by allowing you to work directly within your database. No need to export data to complex pipelines or specialized vector databases—everything can be done seamlessly in Python. With SuperDuperDB, you can integrate AI, perform vector search, and carry out real-time inference, all within your existing database setup.
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SuperDuperDB is a product of SuperDuperDB, Inc.
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SuperDuperDB simplifies the creation of AI applications by enabling direct integration with your database, eliminating the need for complex data pipelines and specialized vector databases. Python is all you need!
Integrate AI directly into your preferred database with Python, making it easy to train and deploy models without extra steps.
SuperDuperDB allows you to build AI applications on top of your database, transform it into a vector database, and use any ML/AI frameworks. It also supports model deployment, real-time inference, and vector search.
SuperDuperDB supports a variety of databases including MongoDB, PostgreSQL, MySQL, SQLite, S3, DuckDB, BigQuery, and Snowflake.
Yes, training and fine-tuning models within your database is straightforward with SuperDuperDB. Simply use queries to train directly on your data.
Absolutely! SuperDuperDB supports seamless integration of AI APIs like OpenAI, allowing them to interact with your existing models and data.
SuperDuperDB is compatible with major ML/AI frameworks including Pytorch, TensorFlow, Sklearn, HuggingFace, and Keras.
Yes, Full Stack Developers can easily add AI to their applications with SuperDuperDB, even without deep MLOps knowledge.
Data Scientists will find SuperDuperDB beneficial for developing and training models using their favorite tools with minimal overhead.
Yes, ML Engineers can take advantage of SuperDuperDB’s scalable setup that works across local, on-prem, and cloud environments.
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