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.
See DocsReal-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.
See DocsMindsDB 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.
See DocsWith 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.
See DocsMindsDB 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.
See DocsMindsDB 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.
See DocsWith 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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