DevRag is a lightweight Retrieval-Augmented Generation (RAG) system designed for developers using Claude Code, enabling highly efficient semantic search and document retrieval from local Markdown (.md) files via both a CLI and Model Context Protocol (MCP) integration. It indexes documents, allowing developers to search their code and documentation with natural language, saving tokens and time by retrieving only relevant segments. Cross-platform and multilingual (100+ languages), DevRag is built for fast, local document search and is especially suited for teams managing large code and documentation repositories.
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Comprehensive guides and API reference for setting up and using DevRag.
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