From 81c642214cd0c1cb7ce2f5e2420c061348747cad Mon Sep 17 00:00:00 2001 From: ilariapet Date: Wed, 22 Oct 2025 17:44:02 +0200 Subject: [PATCH] Fix query parsers doc related to vector search --- .../modules/query-guide/pages/other-parsers.adoc | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/solr/solr-ref-guide/modules/query-guide/pages/other-parsers.adoc b/solr/solr-ref-guide/modules/query-guide/pages/other-parsers.adoc index 326c480720e4..16c3c20e6a9f 100644 --- a/solr/solr-ref-guide/modules/query-guide/pages/other-parsers.adoc +++ b/solr/solr-ref-guide/modules/query-guide/pages/other-parsers.adoc @@ -1002,11 +1002,13 @@ These parameters would be defined in `solrconfig.xml`, in the `defaults` section For more information about the possibilities of nested queries, see Yonik Seeley's blog post https://lucidworks.com/2009/03/31/nested-queries-in-solr/[Nested Queries in Solr]. -== Neural Query Parsers +== Vector Query Parsers -There is currently one Query Parser in Solr to provide Neural Search: `knn`. +There are currently three Query Parsers in Solr to provide Vector Search: -KNN stands for k-nearest neighbors. +- `knn`: matches k-nearest neighbours (knn) documents to the target vector. +- `knn_text_to_vector`: encode a textual query to a vector using a dedicated Language Model and matches knn documents to such query vector. +- `vectorSimilarity`: matches documents whose similarity with the target vector is a above a minimum threshold. Details are documented further in the section xref:query-guide:dense-vector-search.adoc[].