vexor is an open-source CLI tool that enables semantic search over files using vector embeddings. It allows developers and technical users to quickly find relevant content in large file collections using AI-powered search.
In the AI & ML space, vexor takes a focused approach. It focuses on enabling fast and accurate semantic search over local files using AI-powered vector embeddings. vexor is an open-source project aimed at developers and technical users needing semantic file search. The project is open source (MIT). vexor is available on the command line.
It is developed by scarletkc, and the product first shipped in 2025. The project is developed in the open on GitHub with 224 stars and 5 commits in the last 90 days. Across PulseGate's embedding index, vexor has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are semantic search, vector embeddings, and file search.
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