Skeg

The memory-efficient vector DB with high recall.

7 followers

The memory-efficient vector DB with high recall.

7 followers

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Databases and backend frameworks

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AI Databases

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Analytics Databases

Skeg is a multi-tenant vector database built for extreme RAM efficiency: pack far more vectors per GB without trading away recall. Purpose-built for high-density, many-tenant deployments where memory is the bottleneck, not an afterthought. Open source, written in Rust.

Free

Launch tags:Developer Tools•Artificial Intelligence•Database

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Hey everyone! 👋 Excited to finally launch Skeg on Product Hunt. We built Skeg because we were frustrated with the usual trade-offs in vector databases: either great recall but huge RAM usage, or low memory but poor performance under real load. Skeg is a disk-first vector database that focuses on memory efficiency while maintaining high recall. It works especially well in multi-tenant SaaS environments, RAG systems running alongside LLMs, and ARM-powered machines. Would love to hear your thoughts: What vector search tools are you currently using? What’s your biggest pain point with vector databases today? Happy to answer any questions! Repo: https://github.com/skegdb/skeg Thank you for checking it out!

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25d ago

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