Semantic View
Explore IP assets based on their semantic similarity using vector embeddings. Assets with similar content are positioned closer together in this interactive visualization.
How it works
Each IP asset is represented by a high-dimensional vector embedding that captures its semantic meaning. We calculate cosine similarity between these vectors to determine how related different assets are, then use a force-directed graph to visualize these relationships spatially.
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