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* Add modelId and modelText to KnnVectorQueryBuilder Use QueryVectorBuilder within KnnVectorQueryBuilder to make it possible to perform knn queries also when a query vector is not immediately available. Supplying a text_embedding query_vector_builder with model_text and model_id instead of the query_vector will result in the generation of a query_vector by calling inference on the specified model_id with the supplied model_text (during query rewrite). This is consistent with the way query vectors are built from model_id / model_text in KnnSearchBuilder (DFS phase). |
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