#semantic-search
6 approved public terms with this tag.
An embedding space is a latent vector space where items such as words, documents, images, users, or products are represented as numerical coordinates. Items with related meanings or features are positioned near one another, which lets models compare similarity, retrieve neighbors, cluster concepts, and perform operations such as interpolation or vector addition.
The Semantic Search Filter is a selection constraint for finding semantic search information in PlatPhorm News. It improves discovery across article listings, dictionary terms, domains, tags, sources, and AI-readable network metadata.
The Semantic Search Index is a searchable catalog for finding semantic search information in PlatPhorm News. It improves discovery across article listings, dictionary terms, domains, tags, sources, and AI-readable network metadata.
The Semantic Search Query is a search request pattern for finding semantic search information in PlatPhorm News. It improves discovery across article listings, dictionary terms, domains, tags, sources, and AI-readable network metadata.
The Semantic Search Ranking is a ordering method for finding semantic search information in PlatPhorm News. It improves discovery across article listings, dictionary terms, domains, tags, sources, and AI-readable network metadata.
The Semantic Search Result is a returned discovery item for finding semantic search information in PlatPhorm News. It improves discovery across article listings, dictionary terms, domains, tags, sources, and AI-readable network metadata.