mindsdb

Predictive AI layer for existing databases.

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Open issues
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Closed issues
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Last release
6 months ago
Last commit
5 months ago
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Total releases
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Repo URL
Platform
License
gpl-3.0
Category
Usecase
ML Ops
Offers premium version?
NO
Proprietary?
NO
About
<a href="https://github.com/mindsdb/mindsdb_native/blob/stable/assets/MindsDBColorPurp@3x.png?raw=true" rel="nofollow"></a>
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<a href="https://mindsdb.com/hackerminds-ai-app-challenge" rel="nofollow">Hackathon</a>

MindsDB's AI Virtual Database empowers developers to connect any AI/ML model to any datasource. This includes relational and non-relational databases, data warehouses and SaaS applications.

MindsDB offers two primary benefits to its users.

  1. Hook AI models to run automatically as new data is observed and plug the output into any of our integrations.
  2. Automate training and finetuning AI models from data contained in any of the 130+ datasources we support.

Installation- How it works - DatabaseIntegrations - Documentation - Support - Contributing Current contributors - License

Installation

The preferred way is to use MindsDB Cloud free demo instance or use a dedicated instance. If you want to move to production, use the AWS AMI image.

To install locally or on-premise, pull the latest Docker image:

docker pull mindsdb/mindsdb
How it works

  1. Connect: Link MindsDB to your data platform. With support for hundreds of integrations and counting, we're constantly expanding our list.
  2. Create Model: Select an AI Engine to learn from your data. Models are provisioned and deployed instantly for inference.
    • Choose from pre-trained models like OpenAI's GPT, Hugging Face, LangChain, etc., for NLP and generative AI.
    • Or select from a range of state-of-the-art engines for classic ML tasks (regression, classification, time-series).
    • Even import custom models built with any ML framework.
  3. Query Models: Use SELECT statements, API calls, or JOIN commands to make predictions on thousands or millions of data points simultaneously.
  4. Fine-Tune Models: Experiment and Fine-Tune to achieve optimal results.
  5. Automate Workflows: Streamline operations with JOBS.

Follow the quickstart guide with sample data to get on-boarded as fast as possible.

Data Integrations

MindsDB works with most SQL, NoSQL databases, data warehouses, and popular applications. You can find the list of all supported integrations here.

❓ 👋 Missing integration?

Documentation

You can find the complete documentation of MindsDB at docs.mindsdb.com.

Support

If you found a bug, please submit an issue on GitHub.

To get community support, you can:

If you need commercial support, please contact MindsDB team.

Contributing

A great place to start contributing to MindsDB is to check our GitHub projects 🏁

We are always open to suggestions, so feel free to open new issues with your ideas, and we can guide you!

Being part of the core team is accessible to anyone who is motivated and wants to be part of that journey! If you'd like to contribute to the project, refer to the contributing documentation.

This project is released with a Contributor Code of Conduct. By participating in this project, you agree to follow its terms.

Also, check out the rewards and community programs.

Current contributors

Made with contributors-img.

Subscribe to updates

Join our Slack community and subscribe to the monthly Developer Newsletter to get product updates, information about MindsDB events and contests, and useful content, like tutorials.

License

For detailed licensing information, please refer to the LICENSE file

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