SeededKnnVectorQuery
This is a version of knn vector query that provides a query seed to initiate the vector search. NOTE: The underlying format is free to ignore the provided seed
See "Lexically-Accelerated Dense Retrieval" (Kulkarni, Hrishikesh and MacAvaney, Sean and Goharian, Nazli and Frieder, Ophir). In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval Pages 152 - 162
Types
Properties
Functions
Expert: Constructs an appropriate Weight implementation for this query.
Override and implement query instance equivalence properly in a subclass. This is required so that QueryCache works properly.
Expert: called to re-write queries into primitive queries. For example, a PrefixQuery will be rewritten into a BooleanQuery that consists of TermQuerys.
Recurse through the query tree, visiting any child queries.