docstore-search

You can perform a cross-document search by running a query against your document collection. The tool analyzes both metadata and full text to provide relevant document results, scores, and context for your search terms.

Document retrieval works by utilizing file reading, globbing, and grep operations to scan document contents and metadata. It automatically interprets your query for topics or keywords and presents results with relevance scores and contextual snippets.

Yes, the tool identifies and links related documents based on common topics. After finding an initial document, it cross-references metadata and full text to connect you with other relevant files in the same directory.

The best way is to run a targeted search command with your topic query. The system interprets natural language queries for topics or keywords and scans the full text and metadata to quickly surface the most relevant manuals.

The tool implements file reading, globbing, and grep for search operations, meaning it is optimized for local document directories. It relies on these standard file system operations to scan and retrieve text rather than using an indexed database.

No external dependencies are required. The tool operates independently using standard file system operations like reading, globbing, and grep to search and reference documents stored in the .docstore/ directory.