Become a sponsor to Val Giner
I maintain privacy-first, local-first software focused on helping people work with their own documents and data without relying on cloud services.
My primary project is PGVectorRAGIndexer, a fully local semantic document search tool that runs entirely on your own machine. It is designed to be easy to install and use, even for non-technical users, while remaining technically robust.
The project is free for personal, educational, and research use. Sponsorships are entirely optional and help support continued development and maintenance.
Commercial use of individual projects may require a separate commercial license.
I value long-term sustainability, clear boundaries, and user trust over aggressive monetization.
Featured work
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valginer0/PGVectorRAGIndexer
Private, local semantic document search (RAG) using pgvector — desktop app + Docker. Commercial licensing available. A robust Retrieval-Augmented Generation (RAG) system that turns PostgreSQL into …
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