Ordering retrieved multimodal results based on similarity, contextual match, and user intent.
Relevance ranking orders search results based on their relevance to the query, considering factors like similarity, contextual match, and user intent. This process ensures that the most relevant results are presented first.
Relevance ranking algorithms use various metrics and models to evaluate the relevance of search results. Techniques include vector similarity, contextual analysis, and user feedback to refine ranking.
Connect a bucket and Mixpeek runs the whole multimodal search pipeline for you: extraction, indexing, and search over your own objects. No models to wire up, nothing to host.
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