Update vector-search.adoc

neo4j-documentation · Jul 11, 2024 · 879df35 · 879df35
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diff --git a/modules/genai-ecosystem/pages/vector-search.adoc b/modules/genai-ecosystem/pages/vector-search.adoc
@@ -15,9 +15,9 @@ The index is designed to work with embeddings, such as those generated by machin
 
 == Functionality Includes
 
-* Create a vector index with a specified number of dimensions and similarity function (euclidean, cosine)
+* Create a vector index with a specified number of dimensions and similarity function (euclidean, cosine) for both nodes and relationships
 * Query vector index with embedding and top-k, returning nodes and similarity score
-* Procedures to compute text vector embeddings with OpenAI, AWS Bedrock, Google Vertex AI, and other ML platforms 
+* Procedures to compute text vector embeddings with (Azure) OpenAI, AWS Bedrock, Google Vertex AI, and other ML platforms 
 * Vector similarity functions to compute cosine angle and euclidean distance between vectors
 
 image::https://cdn.graphacademy.neo4j.com/assets/img/courses/banners/llm-vectors-unstructured.png[width=800,link="https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/"]