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MindsDB is a Data Federation and Orchestration Engine for Enterprise AI.

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  • Federated Query Engine across hundreds of enterprise data platforms and applications
  • Data-Layer Abstraction for LLMs and ML frameworks into SQL dialect unifies machine-level access for all kinds of data
  • Data Retrieval for large language models, with batteries-included RAG and Text-to-SQL skills
  • Agents and Chatbots - building blocks and tools
  • Workflow Automation with triggers and scheduled jobs
Use Cases
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AI Agents

AI Agents are an extension of large language models (LLMs). They can access external tools, such as search engines, via API calls, overcoming some common shortcomings of LLMs, such as lack of access to internal business data. With MindsDB, you can customize and deploy AI agents.

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Automated Fine-Tuning

Real-world use cases often deal with dynamic data that is updated regularly. MindsDB enables you to automate fine-tuning of AI models to keep them up-to-date and as accurate as possible. You can set up jobs that will trigger fine-tuning of AI models every time new data arrives.

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AI Data Retrieval

MindsDB facilitates AI-powered search of data in the form of documents, websites, or databases. You can search and retrieve data easily using AI models. Also, you can create recommendation systems based on historical data.

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Data Enrichment

With MindsDB, you can easily enrich your data with AI-generated content. Process natural language, analyze text, create images, and more with various AI/ML models accessible through MindsDB.

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Predictive Analytics

MindsDB enables seamless time-series forecasting so you can look into the future and get predictions based on historical data. You can also use historical data to detect anomalies, for example, in quality control systems.

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In-Database ML

MindsDB brings AI/ML into your database. This mitigates the need for creating and maintaining data pipelines. Access various AI/ML models directly from your data source.

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AI Workflow Automation

With MindsDB, you can create, customize, and automate AI workflows that comprise of connecting a data source, deploying an AI/ML model, and streaming predictions and forecast into your application. Use jobs and triggers to create custom automation.

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Integrations
Over 200 integrations with enterprise data sources, AI engines, and applications
25K GitHub Stars
300K Deployments
5K Slack Members