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MindsDB project preview

MindsDB

Platform for building AI applications connected to real-time enterprise databases.

LicenseGPL-3.0
GitHub stars26.5k
Last commit5 days ago
Tags5 topics
Ai Machine LearningSql Machine LearningDatabase Ai PlatformFederated Llm EnginePredictive Analytics
Overview

Why consider MindsDB?

MindsDB is an open-source platform that bridges enterprise data stores with machine learning models and LLMs. By treating AI models as virtual database tables, users can query predictive forecasts and text generation directly through standard SQL syntax.

Guided learning

Learn MindsDB by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of MindsDB

MindsDB connects PostgreSQL, MySQL, Snowflake, and MongoDB with AI models to automate predictive SQL queries.

Quickstart

bash
1docker run -p 47334:47334 -p 47335:47335 mindsdb/mindsdb
sql
1-- Train model directly via SQL
2CREATE MODEL mindsdb.home_rentals_model
3FROM example_db (SELECT * FROM demo_data.home_rentals)
4PREDICT rental_price;

MindsDB is licensed under the GNU General Public License v3.0.

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MindsDB FAQs

MindsDB is listed as a Ai Machine Learning tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

MindsDB is listed under the GPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

MindsDB is listed as an alternative to DataRobot. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.