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new 35319048814 Ref guide: clarify docs for ACORN filtered vector search
(#5162)
35319048814 is described below
commit 353190488146372faf8e5257b7efa991e86b42fe
Author: Adam Quigley <[email protected]>
AuthorDate: Mon Oct 19 21:02:38 2026 -0400
Ref guide: clarify docs for ACORN filtered vector search (#5162)
---
solr/solr-ref-guide/modules/query-guide/pages/dense-vector-search.adoc | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git
a/solr/solr-ref-guide/modules/query-guide/pages/dense-vector-search.adoc
b/solr/solr-ref-guide/modules/query-guide/pages/dense-vector-search.adoc
index 2e2ab4b3d19..cae823ac453 100644
--- a/solr/solr-ref-guide/modules/query-guide/pages/dense-vector-search.adoc
+++ b/solr/solr-ref-guide/modules/query-guide/pages/dense-vector-search.adoc
@@ -519,7 +519,7 @@ The search results retrieved are the k=10 nearest documents
to the vector in inp
+
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)].
+
Solr relies on Lucene's implementation of the `filteredSearchThreshold` in the
{lucene-javadocs}/core/org/apache/lucene/search/knn/KnnSearchStrategy.html[KnnSearchStrategy].
+
