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new 75002ee754c Fix query parsers doc related to vector search (#3799)
75002ee754c is described below
commit 75002ee754cbf0b2a0b1d8ec44e9759d9efbaf7c
Author: Ilaria Petreti <[email protected]>
AuthorDate: Wed Oct 22 18:01:09 2025 +0200
Fix query parsers doc related to vector search (#3799)
(cherry picked from commit 4cdc61868d8abb32137e78b0775214e7bd39b785)
---
solr/solr-ref-guide/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 326c480720e..16c3c20e6a9 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[].
