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.
- Hook AI models to run automatically as new data is observed and plug the output into any of our integrations.
- Automate training and finetuning AI models from data contained in any of the 130+ datasources we support.
![image](https://private-user-images.githubusercontent.com/5898506/258178736-5451fe7e-a854-4c53-b34b-769b6c7c9863.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UggTfPrXwkBvnyEGM-e_q06Ibjq9HK_iP67mqiTgWAQ)
Installation- How it works - DatabaseIntegrations - Documentation - Support - Contributing Current contributors - License
You can try MindsDB using our demo environment with sample data for the most popular use cases.
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
- Connect: Link MindsDB to your data platform. With support for hundreds of integrations and counting, we're constantly expanding our list.
- 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.
- Query Models: Use SELECT statements, API calls, or JOIN commands to make predictions on thousands or millions of data points simultaneously.
- Fine-Tune Models: Experiment and Fine-Tune to achieve optimal results.
- Automate Workflows: Streamline operations with JOBS.
Follow the quickstart guide with sample data to get on-boarded as fast as possible.
MindsDB works with most SQL, NoSQL databases, data warehouses, and popular applications. You can find the list of all supported integrations here.
You can find the complete documentation of MindsDB at docs.mindsdb.com.
If you found a bug, please submit an issue on GitHub.
To get community support, you can:
- Post a question at MindsDB Slack community.
- Ask for help at our GitHub Discussions.
- Ask a question at Stackoverflow with a MindsDB tag.
If you need commercial support, please contact MindsDB team.
A great place to start contributing to MindsDB is to check our GitHub projects 🏁
- Community contributor's dashboard tasks.
- First timers only issues, if this is your first time contributing to an open source project.
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.
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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.
MindsDB is licensed under GNU General Public License v3.0