A semantic code search tool for intelligent, cross-repo context retrieval.

Convert source code to LLM ready knowledge base

Python application to index code locally supporting ollama and voyageai to power semantic searching a large codebase

An AI-powered system for intelligent code search, moving beyond keywords to semantic understanding. It offers multi-dimensional search capabilities across files, classes/interfaces, and methods, each with optimized AI-generated embeddings. Get precise, context-aware results to natural language queries quickly and efficiently.

Intelligent code indexing and retrieval system for Ruby on Rails projects with MCP integration

A very simple setup with pgvector, sentencetransformer, and MCP Python SDK, just to bootstrap indexing code files to facilitate RAG-based search for AI coding agents.

Code indexing examples for converting source code into structured repository maps optimized for semantic search LLM understanding.

🔍 Convert source code into a searchable knowledge base with automatic chunking and intelligent search, now enhanced with MCP support for better integration.