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Semantic Image Search

Describe image content in natural language and use semantic vectors to find matching material, with optional scope and result-count settings.

Assist Local Image Search Team2026-06-293 min read
Semantic Image Search

Describe image content in natural language and use semantic vectors to find matching material, with optional scope and result-count settings.

Semantic search lets you find images by describing what you want instead of providing a reference image.

Steps

  1. Open the semantic search entry from the top toolbar.
  2. Enter a natural-language description.
  3. Set the search scope if needed.
  4. Set the maximum number of results.
  5. Start the search and review the returned images.

Writing Better Prompts

Describe the subject, scene, color, style, and use case when possible. For example:

  • "product photo on a blue background"
  • "modern living room with warm lighting"
  • "woman holding flowers outdoors"
  • "minimal poster with red elements"

Short prompts are fine, but clearer descriptions usually make the first result set easier to review.

Search Options

Use scope to limit the search to a folder, collection, or database range. Use result count to control how many candidates return.

Common Cases

  • If results are too broad, add subject, color, or scene details.
  • If no results appear, check whether semantic data has been generated.
  • If the first prompt is not enough, run a second search with more specific wording.