DevRag is a lightweight Retrieval-Augmented Generation (RAG) tool tailored for developers utilizing Claude Code. It significantly reduces token consumption and enhances document search efficiency by allowing users to retrieve only relevant chunks of information. With vector search capabilities, DevRag provides a fast, semantic search experience, returning results in milliseconds compared to the traditional method of reading entire documents, which can consume thousands of tokens.

Key features include Markdown support for automatic indexing of .md files, cross-platform compatibility for macOS, Linux, and Windows, and the ability to handle over 100 languages. DevRag operates as a single binary without the need for Python, making it easy to set up and use. It offers a command-line interface and Model Context Protocol support, making it suitable for teams managing extensive documentation repositories.