Back to Market
Markdown RAG
Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.
0
Empower your local Markdown document collection with advanced search capabilities. This command-line tool efficiently indexes your notes and documents, leveraging vector embeddings and an integrated vector database for semantic search, allowing you to find relevant information not just by keywords, but by meaning, all in a local-first environment.
Learning & Documentation
Data Science & ML
Content Management
