diff --git a/docs/attributes-registry/db.md b/docs/attributes-registry/db.md
index bc6f42e7f4..8f969013df 100644
--- a/docs/attributes-registry/db.md
+++ b/docs/attributes-registry/db.md
@@ -10,6 +10,8 @@
 - [Cassandra Attributes](#cassandra-attributes)
 - [Azure Cosmos DB Attributes](#azure-cosmos-db-attributes)
 - [Elasticsearch Attributes](#elasticsearch-attributes)
+- [Search attributes](#search-attributes)
+- [Db Vector Attributes](#db-vector-attributes)
 - [Deprecated Database Attributes](#deprecated-database-attributes)
 - [Deprecated Database Metrics](#deprecated-database-metrics)
 
diff --git a/model/database/registry.yaml b/model/database/registry.yaml
index c67c035cc2..d28e761743 100644
--- a/model/database/registry.yaml
+++ b/model/database/registry.yaml
@@ -566,8 +566,62 @@ groups:
           `db.elasticsearch.path_parts.<key>`, where `<key>` is the url path part name. The implementation SHOULD
           reference the [elasticsearch schema](https://raw.githubusercontent.com/elastic/elasticsearch-specification/main/output/schema/schema.json)
           in order to map the path part values to their names.
-        examples:
-          [
-            "db.elasticsearch.path_parts.index=test-index",
-            "db.elasticsearch.path_parts.doc_id=123",
-          ]
+        examples: ['db.elasticsearch.path_parts.index=test-index', 'db.elasticsearch.path_parts.doc_id=123']
+  - id: registry.db.search
+    prefix: db.search
+    type: attribute_group
+    display_name: Search attributes
+    brief: >
+      This group defines attributes for Search.
+    attributes:
+      - id: similarity_metric
+        type:
+          members:
+            - id: cosine
+              value: 'cosine'
+              brief: >
+                The cosine metric.
+              stability: experimental
+            - id: dot
+              value: 'dot'
+              brief: >
+                The dot product metric.
+              stability: experimental
+            - id: euclidean
+              value: 'euclidean'
+              brief: >
+                The euclidean distance metric.
+              stability: experimental    
+            - id: manhattan
+              value: 'manhattan'
+              brief: >
+                The Manhattan distance metric.
+              stability: experimental
+        stability: experimental
+        brief: >
+          The metric used in similarity search.
+        examples: 'cosine'
+  - id: registry.db.vector
+    prefix: db.vector
+    type: attribute_group
+    brief: >
+      This group defines attributes for vector databases.
+    attributes:
+      - id: field_name
+        type: string
+        stability: experimental
+        brief: >
+          The name field as of the vector (e.g. a field name).
+        examples: 'vector'
+      - id: dimension_count
+        type: int
+        stability: experimental
+        brief: >
+          The dimension of the vector.
+        examples: [3]
+      - id: query.top_k
+        type: int
+        stability: experimental
+        brief: >
+          The top-k most similar vectors returned by a query.
+        examples: [5]