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SuperDuperDB

SuperDuperDB

Build AI applications directly with your database using Python.

AI applicationsDatabase integrationReal-time inference
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Introduction

Build AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python!

Key Features

Build AI applications on top of your datastore

Turn your existing database into a fully-functional vector database

Work with any ML/AI frameworks and APIs

Frequently Asked Questions

What is SuperDuperDB?

Build AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python!

How to use SuperDuperDB?

SuperDuperDB allows you to bring AI to your favorite database by integrating and training AI directly with your preferred database using Python.

What can I do with SuperDuperDB?

With SuperDuperDB, you can build AI applications on top of your datastore, turn your existing database into a fully-functional vector database, work with any ML/AI frameworks and APIs, deploy and compute models, and perform vector search on your data using Python.

Which databases are supported by SuperDuperDB?

SuperDuperDB supports MongoDB (Atlas), S3, PostgreSQL, MySQL, DuckDB, SQLite, BigQuery, and Snowflake.

Can I train and fine-tune models using SuperDuperDB?

Yes, you can easily train and fine-tune models by querying your data(store) using SuperDuperDB.

Can I integrate AI APIs with SuperDuperDB?

Yes, you can integrate AI APIs such as OpenAI with SuperDuperDB to work together with other models on your data.

What ML/AI frameworks are supported by SuperDuperDB?

SuperDuperDB supports Pytorch, Tensorflow, Sklearn, HuggingFace, Keras, and more.

Is SuperDuperDB suitable for Full Stack Developers?

Yes, SuperDuperDB is suitable for Full Stack Developers who want to implement next-gen AI into their applications without requiring MLOps knowledge.

Is SuperDuperDB suitable for Data Scientists?

Yes, SuperDuperDB is suitable for Data Scientists who want to develop and train AI models using their favorite tools with minimum overhead.

Is SuperDuperDB suitable for ML Engineers?

Yes, SuperDuperDB is suitable for ML Engineers who want a single scalable setup that supports local, on-prem, and cloud deployment.

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Use Cases

  • Deploy all your AI models to automatically compute outputs (inference) in your datastore
  • Train models on your data in your datastore simply by querying without additional ingestion and pre-processing
  • Integrate AI APIs to work together with other models on your data effortlessly
  • Search your data with vector-search, including model management and serving

How to Use

SuperDuperDB allows you to bring AI to your favorite database by integrating and training AI directly with your preferred database using Python.
SuperDuperDB: Build AI applications directly with your database using Python. | Review AI Tools