MindsDB

MindsHub's official company history explicitly states that MindsHub is the product and MindsDB the company, with the product renamed in 2026 and company/team unchanged. It reports over 800 contributors and 39,000 GitHub stars for the project. This supports developer-community distribution beyond generic connected-data capability, not active production customer counts or measured business outcomes.

MindsDB supports enterprise conversational AI, search, analytics and triage across connected data sources, but public evidence of very large deployment scale is limited.

MindsDB's official Query Engine repository documents hybrid retrieval that runs vector similarity and BM25 keyword matching in parallel and merges results, with metadata filters on knowledge-base queries.

MindsDB connects structured and unstructured data sources with AI systems, knowledge bases and federated query capabilities for enterprise RAG and agents.

MindsDB connects structured and unstructured data sources with AI systems, knowledge bases and federated query capabilities for enterprise RAG and agents.

MindsDB's Y Combinator company profile reports more than US$55 million in backing from Mayfield, Benchmark, Y Combinator and NVIDIA.

MindsDB's company profile identifies co-founder and CEO Jorge Torres, describes research in machine-learning automation and explainability at UC Berkeley, and identifies co-founder Adam Carrigan's prior Deloitte experience.

MindsDB operates both open-source and commercial cloud/on-prem products with enterprise deployment and support capabilities.

Data integration, RAG, query engines and enterprise AI platform skills transfer broadly across data, analytics, agent and AI infrastructure companies.

Data integration, RAG, query engines and enterprise AI platform skills transfer broadly across data, analytics, agent and AI infrastructure companies.

MindsDB evolved in 2026 into MindsHub, an open-source home for AI agents while retaining the MindsDB engine and existing workloads, combining data-source integration, open-source agent development, SQL/API interfaces and production AI infrastructure skills.