Search Vault
search_vaultSearch your Obsidian knowledge base using hybrid lexical and semantic retrieval, returning reranked passages from natural-language queries.
Instructions
Search your Obsidian knowledge base using state-of-the-art Hybrid RAG. Combines SQLite FTS5 (BM25 lexical), BAAI/bge-m3 (1024-dim dense semantic vector), Reciprocal Rank Fusion (RRF), and Jina Reranker v2 Cross-Encoder scoring.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural language question or search phrase | |
| top_k | No | Number of highest-ranking passages to return (default 5) | |
| heading_filter | No | Optional substring filter for document section headers |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |