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Expand Up @@ -519,7 +519,7 @@ The search results retrieved are the k=10 nearest documents to the vector in inp
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ACORN is an algorithm designed to make hybrid searches consisting of a filter and a vector search more efficient.
This approach tackles both the performance limitations of pre- and post- filtering.
It modifies the construction of the HNSW graph and the search on it. Based on https://arxiv.org/abs/2403.04871[ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data (2024)].
It modifies how the HNSW graph is searched. Based on https://arxiv.org/abs/2403.04871[ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data (2024)].
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Solr relies on Lucene's implementation of the `filteredSearchThreshold` in the {lucene-javadocs}/core/org/apache/lucene/search/knn/KnnSearchStrategy.html[KnnSearchStrategy].
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