Enables semantic search and SQL-based metadata querying across your Obsidian knowledge base.
This skill transforms your Obsidian vault into a searchable intelligence engine by integrating semantic vector search and Dataview-style SQL queries directly into Claude. By leveraging sqlite-vec and ChromaDB embeddings, it allows users to find notes based on meaning rather than just keywords, filter content by frontmatter metadata such as status or due dates, and generate complex summaries of vault contents. It is an essential tool for power users who need to navigate large personal knowledge bases, automate task management, or extract deep insights from their markdown notes using natural language.
주요 기능
01Semantic vector search to find notes by meaning and conceptual context
024 GitHub stars
03SQL-powered Dataview-style queries for advanced frontmatter metadata filtering
04Automated indexing with support for full rebuilds and incremental updates
05Human-readable search snippets and programmatic JSON output for complex tasks
06Granular filtering by folder path, tags, status, and custom frontmatter fields
사용 사례
01Aggregating project-specific notes and investing positions using custom SQL queries
02Discovering related research notes across a large vault without requiring exact keyword matches
03Generating dynamic lists of open tasks filtered by priority and upcoming due dates
