Enables hybrid vector-BM25 search and retrieval of Obsidian vault knowledge notes, allowing AI assistants like Claude to efficiently access relevant chunks without full file reads.
Enables AI coding agents to search, read, create, update, and delete notes in a local Obsidian vault through hybrid semantic and lexical retrieval, with all embedding and vector storage running locally.
Provides semantic search and keyword search over Obsidian notes, along with direct note retrieval, allowing external AI agents to query and access the vault.
Provides AI assistants with tools to manage Obsidian notes via hybrid semantic search (BM25, Voyage AI, Cohere), full CRUD, backlinks, and live indexing without restart.
Enables AI agents to navigate, search, and rank notes in an Obsidian vault using graph relationships, providing context-aware access to knowledge without exposing raw file contents.