Show the current configuration (vault path, embedding provider/model).

The API key is never returned.

Scan the vault and build/refresh the embedding index.

Args: force: rebuild the index even if one already exists.

Semantically search the vault for chunks related to query.

Args: query: what to look for (natural language). top_k: number of results to return (1-20).

Retrieve the most relevant Obsidian notes for question and return them as context.

Use this to analyze a user's message against what is stored in the vault: search first, then reason over the returned context.

Args: question: the user's question / content to analyze. top_k: number of context chunks to retrieve (1-20).

List the markdown notes in the vault.

Args: keyword: optional filter; only notes whose path contains this string are returned.

Read the full text of a note from the vault.

Args: path: vault-relative markdown path, e.g. "Projects/MyProject.md".

Report whether an index exists and matches the configured embedding model.