video1.0<iframe src="https://www.loom.com/embed/3a15d2d685e4412aae567843e1ccb41b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/3a15d2d685e4412aae567843e1ccb41b-720f96e896132c78.gif525.277This Loom explains how Semantic Search in PatSnap works to find patents and literature conceptually similar to a technology or document. You can run it using either a block of text input, recommended to be at least 200 words, or a publication number, and then apply relevant filters such as Restrict to Prior Art and Exclude Description Background for publication inputs. The search returns a ranked list with relevancy scores, where higher scores indicate stronger conceptual similarity, and results are limited to 1,000 documents. If results are grouped, you can view the full set by selecting Ungrouped, and literature appears in a second tab at the top.