File Compass FAQs

Question 1

Can File Compass integrate with AI assistants or other tools?

Accepted Answer

Absolutely. File Compass includes an MCP (Model Context Protocol) server. This enables seamless integration with AI assistants like Claude Code and other MCP-compatible clients, enhancing AI-driven development workflows with powerful search capabilities.

Question 2

What is File Compass?

Accepted Answer

File Compass is a semantic file search tool designed for AI workstations. It allows you to find code and content by describing your intent (e.g., 'database connection handling') rather than relying solely on keywords or file names.

Question 3

How does File Compass ensure data privacy?

Accepted Answer

File Compass prioritizes privacy by using local embeddings via Ollama (e.g., nomic-embed-text). This means all AI processing for generating search vectors occurs on your local machine, without sending any data to external cloud services.

Question 4

Is File Compass fast for large codebases?

Accepted Answer

Yes, File Compass is engineered for speed. It utilizes HNSW (Hierarchical Navigable Small World) indexing for its vector database, ensuring sub-second query responses even when searching across tens of thousands of files or code chunks.

Question 5

Which programming languages does File Compass support for intelligent parsing?

Accepted Answer

File Compass uses Tree-sitter for multi-language AST (Abstract Syntax Tree)-aware chunking. It currently provides semantic understanding for Python, JavaScript, TypeScript, Rust, and Go files, breaking them into meaningful, searchable units like functions and classes.

File Compass

File Compass

Key Features

Use Cases

Key Features

Use Cases