Databases and LLMs

Transforms unstructured data into beautiful SQL databases using AI. OmniAI stands out by transforming unstructured data into SQL databases using AI, making it easier to organize and access data efficiently.

Let's you query your database in conversational language

Turns financial documents, voice calls, and emails into a structured, SQL-queryable format in seconds. Trellis utilizes AI to convert financial documents, voice calls, and emails into a structured, SQL-queryable format swiftly, enhancing data organization and accessibility.

AI-powered ETL (Extract, Transform and Load) using multi-modal data extraction, classification RAG

AI data analyst that transforms unstructured data and builds reports

AI significantly enhances database management by improving data classification, extraction, and structuring, facilitating the integration of unstructured data into structured databases, and enabling more efficient data analysis and management.

AI improves data analysis by enabling faster, more accurate analysis of large datasets, facilitating intuitive data visualization, and assisting in predictive forecasting. It transforms complex data into actionable insights efficiently.

https://mdb.ai/

An Introduction to โ€œMindsโ€ by MindsDB

"Database-Mind is designed to take in a database schema and allow users to directly interact with it in natural language. To use Database-Mind, all users need to do is pass in a database schema and questions in natural language and MindsDB handles the rest and just returns answers."

Minds are AI systems with built-in expertise designed to help AI agents accomplish tasks. These plug-and-play systems need little setup and are designed to be consumed in a seamless manner just like traditional LLMs with an OpenAI compatible API.

MindsDB abstracts away the complexities of building an AI application and bundles all of the components into a โ€œMindโ€ that creates an agent to seemingly accomplish the task it was created for. Our first mind - the Database-Mind is designed to take in a database schema and allow users to directly interact with it in natural language.

To use Database-Mind, all users need to do is pass in a database schema and questions in natural language and MindsDB handles the rest and just returns answers.

Database-Mind is the first of many to come. Check it out here.

Database-Mind Designed to make data access intuitive and accessible for everyone, this Mind enables SQL databases to be queried in plain English.

Database-Mind tutorial

What are Minds? AI systems with built-in expertise designed to help AI agents accomplish tasks. These plug-and-play systems need little setup and can be customized for advanced use cases.

MindsDB enables developers to create the next wave of AI-centered applications that will transform the way we live and work. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and is backed by Benchmark, Mayfield, Nvidia's NVentures, YCombinator and others. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022). To see how MindsDB can help you visit www.mindsdb.com or follow us @MindsDB.

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