Enables semantic search over local Markdown documentation using hybrid retrieval combining embeddings, keyword search, and graph traversal with automatic file watching and zero-configuration setup.
Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.
Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
A local note-taking server that provides intelligent management of markdown files through hybrid keyword and AI-powered semantic search. It enables users to create, find, and retrieve notes using advanced indexing, vector embeddings, and a built-in web viewer.