How to Build a RAG-Powered Codebase Intelligence Tool for Your Monorepo

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A technical tutorial published on tamiz.pro outlines how developers can build a semantic code-search tool for large monorepos using a RAG-assisted Model Context Protocol (MCP) server. The system addresses the limitations of traditional code search tools like ripgrep and Sourcegraph, which struggle to answer natural-language queries about codebases. The proposed architecture combines a file watcher, a LangChain-based indexer, and a Qdrant vector store, with retrieval enhanced by hybrid BM25 lexical and vector similarity search. Code is parsed using tree-sitter for language-agnostic, AST-aware chunking, while a local Python embedding server using sentence-transformers handles embeddings privately at no API cost. The resulting MCP server exposes a standardized interface compatible with tools like Claude and Cursor, aiming to replicate the functionality of commercial tools like repowise.

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