File Compass
Performs semantic file search for AI workstations leveraging HNSW indexing and local embeddings via Ollama to efficiently locate relevant code and content.
Performs semantic file search for AI workstations leveraging HNSW indexing and local embeddings via Ollama to efficiently locate relevant code and content.
File Compass revolutionizes how developers and AI assistants interact with large codebases and project directories. Instead of relying on keyword-based searches that often miss semantic context, this tool employs vector embeddings and HNSW indexing to understand the meaning behind your queries. It enables users to find specific files, functions, or concepts by simply describing what they're looking for, offering sub-second search times even across tens of thousands of files. Beyond its powerful search capabilities, File Compass integrates seamlessly with AI assistants like Claude Code through its Model Context Protocol (MCP) server, providing a suite of tools for semantic search, code preview, and quick indexing, making it an indispensable asset for AI-powered development workflows.