mindsdb
Описание
The platform for customizing AI from enterprise data
Языки
Python
- HCL
- Smarty
- Mako
- Makefile
- Dockerfile
Website | Docs | Community Slack | Contribute | 20K🌟🎉
MindsDB is the platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data.
We believe AI will help every company thrive, but off-the-shelf, generic AI usually doesn’t completely meet their needs. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.
MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide:
🎯 Solutions | ⚙️ SQL Query Examples |
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🤖 Fine-Tuning |
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📚 Knowledge Base |
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🔍 Semantic Search |
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⏱️ Real-Time Forecasting |
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🕵️ Agents |
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💬 Chatbots |
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⏲️ Time Driven Automation |
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🔔 Event Driven Automation |
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⚡️ Quick Example
Enrich datastores by passing new data through an AI-model and writing results back in the database, this can be solved in a few lines of AI-SQL. Here is a reference architecture:
Let's look at automating shopify orders analysis:
---This query creates a job in MindsDB to analyze Shopify orders.---It predicts customer engagement scores based on recent completed orders---and inserts these insights into a customer_engagement table.---The job runs every minute, providing ongoing updates to the engagement scores.
CREATE JOB mindsdb.shopify_customer_engagement_job AS (
-- Insert into a table insights about customer engagement based on recent Shopify orders INSERT INTO shopify_insights.customer_engagement (customer_id, predicted_engagement_score) SELECT o.customer_id AS customer_id, r.predicted_engagement_score AS predicted_engagement_score FROM shopify_data.orders o JOIN mindsdb.customer_engagement_model r WHERE o.order_date > LAST AND o.status = 'completed' LIMIT 100)EVERY minute;
⚙️ Installation
To install locally or on-premise, pull the latest Docker image:
docker pull mindsdb/mindsdb
or, use pip:
pip install mindsdb
🔗 Data Integrations
MindsDB allows querying hundreds of data sources, such as databases (both relational and non-relational), data warehouses, streams, and SaaS application data, using standard SQL. This capability stems from MindsDB’s unique ability to translate SQL into real-time data requests. You can find the list of all supported integrations here.
📖 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:
- 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.
🤝 Contributing
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.
💚 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