Software:MindsDB

From HandWiki
MindsDB
TypePrivate
IndustryArtificial intelligence, Software
Founded2017
FoundersJorge Torres, Adam Carrigan
Area served
Worldwide
ProductsFederated query engine, semantic search, AI data agents
Websitehttps://mindsdb.com

MindsDB is an open-source artificial intelligence software platform that enables organizations to analyze both structured and unstructured data without requiring it to be moved into a separate storage system. It connects to existing databases, business applications, and document-based sources, allowing information to be queried directly from its current location.[1][2][3][4]

History

MindsDB was founded in 2017 by Jorge Torres and Adam Carrigan in Berkeley, California. The first open-source release in 2018 introduced basic machine-learning functions that operated inside traditional databases.[5][6] From 2019 to 2024, the project expanded into a broader system for accessing distributed enterprise data. Independent technology publications referenced MindsDB during this period in the context of AI infrastructure and data engineering tools.[1][7][8][9][10][11]

Between 2024 and 2025, MindsDB added features for working with large language models (LLMs) and retrieval-augmented generation, positioning the platform as an open-source engine for running AI queries across different data systems.[12][13][14][15]

Overview

MindsDB has formed strategic partnerships with leading companies such as Snowflake, SingleStore, DataStax, and NVIDIA. As of September 2024, the platform supports over 200 integrations, including popular large language models (LLMs) like OpenAI, Anthropic, and Mistral, as well as data platforms such as MySQL, PostgreSQL, Snowflake, and MongoDB. MindsDB also integrates with a wide range of applications, including Salesforce, HubSpot, X(former Twitter), and many others.[16][17][18][19]

Technology

Federated data access

MindsDB offers a federated query engine – a system that allows SQL queries to run across multiple databases, business applications, and document-based sources without combining the data into one central repository. This makes it possible to analyze live operational information while it remains in its original location.[1][7][9][20][10]

MindsDB provides tools for managing and searching unstructured content such as documents and text fields:[1][21]

  • vector search – a method for finding similar content by comparing numerical representations of text
  • metadata filtering – narrowing search results by attributes such as date or category

AI data agents

MindsDB includes AI-based agents that interpret natural-language questions, generate SQL queries, retrieve context, and produce answers using large language models. These agents act as intermediaries that translate everyday language into database operations.[5][7][22]

Models and integrations

The platform supports open-source, hosted, and self-managed LLMs, and can connect them to databases, warehouses, and vector stores. This allows the models to work with data stored across many environments without additional data pipelines. MindsDB has been included in rankings of notable software tools for AI and data infrastructure.[5][1][8][23][24][25]

Deployment

MindsDB is available as open-source software and as a hosted cloud service. It can also be deployed on-premises or inside private cloud environments, depending on an organization's requirements. Independent financial and technology reporting has covered several integration and reseller agreements involving MindsDB. The platform can additionally operate as a Model Context Protocol (MCP) server, allowing MCP-compatible developer tools to access its query engine and AI functions. MindsDB is listed as an optional integration within the Google MCP Toolbox.[26][27][28][29][9][30][31]

References

  1. ↑ 1.0 1.1 1.2 1.3 1.4 AIBit (2025-06-30). "MindsDB: AI's Query Engine for Federated Data" (in en). http://aibit.im/blog/post/mindsdb-ai-s-query-engine-for-federated-data. 
  2. ↑ Zhu, Jiazhen. "Text-To-SQL: Making Enterprise Data More Accessible To Users" (in en). Forbes. https://www.forbes.com/councils/forbestechcouncil/2025/08/15/text-to-sql-making-enterprise-data-more-accessible-to-users/. 
  3. ↑ Nieva, Richard. "How Nvidia's Investment Arm Is Supercharging A New Class Of AI Startups" (in en). Forbes. https://www.forbes.com/sites/richardnieva/2024/02/15/nvidia-nventures-ai-investments/. 
  4. ↑ Dey, Victor (2023-08-08). "MindsDB raises funding from Nvidia to democratize AI application development" (in en-US). VentureBeat. https://venturebeat.com/ai/mindsdb-raises-funding-from-nvidia-to-democratize-ai-application-development/. 
  5. ↑ 5.0 5.1 5.2 "Using Large Language Models inside your database with MindsDB" (in en). 2023-08-14. https://dev.to/emmanuelthecoder/using-large-language-models-inside-your-database-with-mindsdb-1607. 
  6. ↑ Persaud, Vishal. "6 years ago, AI startup MindsDB was an open source project that few took seriously. Now it's worth $160 million and on a growth rocketship." (in en-US). https://www.businessinsider.com/how-mindsdb-became-hot-ai-startup-2023-6. 
  7. ↑ 7.0 7.1 7.2 "Artificial Intelligence News for the Week of June 6; Updates from IBM, MindsDB, Quest Software & More" (in en-US). 2025-06-06. https://solutionsreview.com/artificial-intelligence-news-for-the-week-of-june-6-updates-from-ibm-mindsdb-quest-software-more/. 
  8. ↑ 8.0 8.1 Sutter, Michal (2025-06-08). "50+ Model Context Protocol (MCP) Servers Worth Exploring" (in en-US). https://www.marktechpost.com/2025/06/08/50-model-context-protocol-mcp-servers-worth-exploring/. 
  9. ↑ 9.0 9.1 9.2 Sawers, Paul (2021-11-07). "MindsDB wants to give enterprise databases a brain" (in en-US). VentureBeat. https://venturebeat.com/data-infrastructure/mindsdb-wants-to-give-enterprise-databases-a-brain/. 
  10. ↑ 10.0 10.1 Ohnsman, Alan. "AI 50 2021: America's Most Promising Artificial Intelligence Companies" (in en). Forbes. https://www.forbes.com/sites/alanohnsman/2021/04/26/ai-50-americas-most-promising-artificial-intelligence-companies/. 
  11. ↑ "10 databases supporting in-database machine learning" (in en-US). https://www.infoworld.com/article/2262611/10-databases-supporting-in-database-machine-learning.html. 
  12. ↑ "RAG in 2025: The enterprise guide to retrieval augmented generation, Graph RAG and agentic AI" (in en-GB). https://datanucleus.dev/rag-and-agentic-ai/what-is-rag-enterprise-guide-2025. 
  13. ↑ "MindsDB: The AI Layer for Your Database". https://skywork.ai/skypage/en/MindsDB%25253A%252520The%252520AI%252520Layer%252520for%252520Your%252520Database/1976166477394014208. 
  14. ↑ "Build an AI Agent That Understands SQL and PDFs Using MindsDB" (in en). 2025-05-01. https://dev.to/koolkamalkishor/build-an-ai-agent-that-understands-sql-and-pdfs-using-mindsdb-27o8. 
  15. ↑ "The Ultimate Guide to the MindsDB MCP Server". https://skywork.ai/skypage/en/mindsdb-mcp-server-guide/1981212997428629504. 
  16. ↑ Hampton, Jaime (2022-11-04). "MindsDB Platform Now Features Over 70 Integrations". https://www.datanami.com/2022/11/04/mindsdb-platform-now-features-over-70-integrations/. 
  17. ↑ Heller, Martin (2022-12-19). "10 databases supporting in-database machine learning" (in en). https://www.infoworld.com/article/3607762/10-databases-supporting-in-database-machine-learning.html. 
  18. ↑ Asay, Matt (2022-07-18). "8 most innovative AI and machine learning companies" (in en-US). https://www.techrepublic.com/article/most-innovative-companies-ai-machine-learning/. 
  19. ↑ Wayner, Peter (2022-09-26). "13 open source projects transforming AI and machine learning" (in en). https://www.infoworld.com/article/3673976/13-open-source-projects-transforming-ai-and-machine-learning.html. 
  20. ↑ Bojan (2024-03-27). "What is MindsDB?" (in en-US). https://valanor.co/what-is-mindsdb/. 
  21. ↑ DataStax. "Integrate MindsDB with Astra DB Serverless | DataStax Docs" (in en). https://docs.datastax.com/en/astra-db-serverless/integrations/mindsdb.html. 
  22. ↑ "MindsDB: The AI Layer for Your Database". https://skywork.ai/skypage/en/MindsDB%253A%2520The%2520AI%2520Layer%2520for%2520Your%2520Database/1976166477394014208. 
  23. ↑ Ohnsman, Alan. "AI 50 2021: America's Most Promising Artificial Intelligence Companies" (in en). Forbes. https://www.forbes.com/sites/alanohnsman/2021/04/26/ai-50-americas-most-promising-artificial-intelligence-companies/. 
  24. ↑ Sullivan, Mark (2024-03-19). "The most innovative AI companies of 2024" (in en-US). Fast Company. https://www.fastcompany.com/91029555/artificial-intelligence-most-innovative-companies-2024. 
  25. ↑ "MindsDB Funding Announcement | Mayfield News" (in en-US). https://www.mayfield.com/news/mindsdb-introducing-the-worlds-first-cloud-to-serve-ai-intelligence-logic-2/. 
  26. ↑ mindsdb/mindsdb, MindsDB Inc, 2025-12-11, https://github.com/mindsdb/mindsdb, retrieved 2025-12-11 
  27. ↑ Titan, Stock (2025-09-17). "Enterprise AI Platform Deal: IPM Teams with MindsDB to Bring Advanced Analytics to Mid-Market Companies" (in en). https://www.stocktitan.net/news/IPM/intelligent-protection-management-corp-enters-into-ai-reseller-en3y9k9pwfia.html. 
  28. ↑ "Intelligent Protection Management (IPM) Enters Reseller Agreemen" (in en). https://www.gurufocus.com/news/3110590/intelligent-protection-management-ipm-enters-reseller-agreement-with-mindsdb?mobile=true%3Fmobile%3Dtrue. 
  29. ↑ "MSN". https://www.msn.com/en-us/money/markets/ipm-shares-surge-after-reseller-deal-with-ai-platform-mindsdb/ar-AA1MKsNG?ocid=finance-verthp-feeds. 
  30. ↑ "Sources" (in en). https://googleapis.github.io/genai-toolbox/resources/sources/. 
  31. ↑ "mindsdb - MCP Server Registry" (in en). https://www.augmentcode.com/mcp/mindsdb. 

Further reading



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