MinDB – an extremely memory-efficient vector database

In plain words

MinDB is a vector database designed for developers who need memory-efficient storage and retrieval of vector data. Built with a focus on minimal resource consumption, it offers an alternative to traditional vector databases that typically require substantial memory overhead. The project launched in September 2024 and is available on GitHub, making it accessible for developers looking to integrate vector search capabilities into applications with constrained hardware resources.

written from the facts on this page · September 2026

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