Basic Search
Virza indexes every document in your library for instant full-text search. Press ⌘K (Mac) or Ctrl+K (Windows/Linux) to search from anywhere.
For the full search architecture, including semantic matching, the seven ranking signals, and the three search tabs (All, My Library, Discover), see How Search Works.
How to search
- Press
⌘K/Ctrl+Kto open the search bar - Type your query
- Results appear instantly as you type
Or click the Search icon in the sidebar for the full search view with tabs and filters.
What’s searchable
Virza searches across all indexed content in your workspace:
- Document titles, authors, and abstracts
- Full body text
- Extracted table content and figure descriptions
- Notes content
- Collection names and descriptions
- Citation records
Search results
Results are ranked by a multi-signal scoring system that considers text relevance, semantic similarity, research context, and recency. Each result shows:
- Document title and matching text snippet
- Authors and publication year
- Collection tags
- Relevance indicators
Click any result to open the document.
Tips for better searches
- Use specific terms: “BERT attention mechanism” works better than “machine learning”
- Search by author: Type an author name to find their papers
- Search by DOI: Paste a DOI to jump directly to a specific paper
- Ask questions: “How does attention improve NLP?” activates semantic matching for deeper results
- Use the My Library tab for workspace-scoped search, or All to include external papers
Further reading
- How Search Works for the full architecture and ranking details
- Advanced Filters to narrow results by year, methodology, collection
- Search Tips for writing better queries for different research tasks
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