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Search FAQ

Start with a clear image of the part, product, or component you want to match. Better visual input usually leads to better search quality, especially when the image clearly shows the shape, silhouette, or distinguishing features.

Search by CAD model when you want to find visually or geometrically similar 3D parts, related drawings, or connected files. This is especially useful when users know the shape they need but not the exact file name or part number.

Use a clean drawing input when you want to find similar parts, related 3D models, or prior work that shares visual or engineering characteristics. Drawings often provide strong input because they carry shape and technical context together.

Filters help narrow results based on the indexed data and the way your environment is configured. Teams often use filters to reduce a broad result set to the repositories, file types, or categories most relevant to the task at hand.

Why are my search results broad instead of exact?

Section titled “Why are my search results broad instead of exact?”

Broader results can happen when:

  • The input is visually ambiguous.
  • The indexed data contains many similar variants.
  • The search is intentionally returning near matches for comparison.
  • Relevant metadata or file relationships are limited.

Search quality often improves when teams:

  • Use clearer input images, drawings, or models.
  • Index the right repositories for the workflow.
  • Include related file types, not just one format.
  • Improve metadata or source data quality where possible.

Where can I learn more about improving search quality?

Section titled “Where can I learn more about improving search quality?”

Read Best practices for guidance on data preparation, indexing quality, and search outcomes.