ragrag is a command-line tool for local semantic search across technical documentation, supporting text, PDFs, and images using ColQwen3 embeddings. It enables developers and technical writers to efficiently find relevant information offline.
In the RAG, search & retrieval space, ragrag takes a focused approach. It focuses on searching and retrieving relevant information from technical documentation, PDFs, and images locally using semantic embeddings. It is built as an open-source project for developers and technical writers. ragrag is open source. It runs on the command line.
ragrag first shipped in 2026. Among its 5 catalogued features are semantic search, multimodal support, and PDF indexing.
Summary written by a language model from the project’s public pages.
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