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Search finds files by meaning, context, and intent rather than filenames or folders.

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How Search Works

Search combines multiple signals:
  • AI-generated tags
  • File content analysis
  • Semantic understanding
  • Metadata and context
This allows finding files even when exact terms are unknown.

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Search Components

Semantic understanding interprets meaning, not just keywords. Queries are matched to content by concept and intent. See How Indexing Works for how semantic indexing enables this. Tags generated during processing enable fast filtering and discovery. Multiple tags can be combined automatically from a single query. See AI Auto-Tagging for how tags are created.

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Content Analysis

Full content is analyzed, not just metadata. This enables finding information within files, not just about files.

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Discovery Features

Search can surface:
  • Similar files based on content
  • Related topics across files
  • Content with shared context

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Search at Scale

Search works across large datasets:
  • Thousands or millions of files
  • No manual organization required
  • Results ranked by relevance