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Author: ajcvickers

src/MongoDB.Driver/CreateSearchIndexModel.cs

@@ -20,7 +20,7 @@ namespace MongoDB.Driver
 {
     /// <summary>
     /// Defines a search index model using a <see cref="BsonDocument"/> definition. Consider using
-    /// <see cref="CreateVectorIndexModel{TDocument}"/> to build vector indexes without specifying the BSON directly.
+    /// <see cref="CreateVectorSearchIndexModel{TDocument}"/> to build vector indexes without specifying the BSON directly.
     /// </summary>
     public class CreateSearchIndexModel
     {
@@ -49,7 +49,7 @@ public BsonDocument Definition
         /// model as a <see cref="BsonDocument"/>.
         /// </summary>
         /// <remarks>
-        /// Consider using <see cref="CreateVectorIndexModel{TDocument}"/> to build vector indexes without specifying
+        /// Consider using <see cref="CreateVectorSearchIndexModel{TDocument}"/> to build vector indexes without specifying
         /// the BSON directly.
         /// </remarks>
         /// <param name="name">The index name.</param>
@@ -64,7 +64,7 @@ public CreateSearchIndexModel(string name, BsonDocument definition)
         /// model as a <see cref="BsonDocument"/>.
         /// </summary>
         /// <remarks>
-        /// Consider using <see cref="CreateVectorIndexModel{TDocument}"/> to build vector indexes without specifying
+        /// Consider using <see cref="CreateVectorSearchIndexModel{TDocument}"/> to build vector indexes without specifying
         /// the BSON directly.
         /// </remarks>
         /// <param name="name">The index name.</param>

src/MongoDB.Driver/CreateVectorIndexModel.cs renamed to src/MongoDB.Driver/CreateVectorSearchIndexModel.cs

@@ -24,7 +24,7 @@ namespace MongoDB.Driver;
 /// <summary>
 /// Defines a vector index model using strongly-typed C# APIs.
 /// </summary>
-public sealed class CreateVectorIndexModel<TDocument> : CreateSearchIndexModel
+public sealed class CreateVectorSearchIndexModel<TDocument> : CreateSearchIndexModel
 {
     /// <summary>
     /// The field containing the vectors to index.
@@ -62,15 +62,15 @@ public sealed class CreateVectorIndexModel<TDocument> : CreateSearchIndexModel
     public int? HnswNumEdgeCandidates { get; init; }
 
     /// <summary>
-    /// Initializes a new instance of the <see cref="CreateVectorIndexModel{TDocument}"/> class, passing the
+    /// Initializes a new instance of the <see cref="CreateVectorSearchIndexModel{TDocument}"/> class, passing the
     /// required options for <see cref="VectorSimilarity"/> and the number of vector dimensions to the constructor.
     /// </summary>
     /// <param name="name">The index name.</param>
     /// <param name="field">The field containing the vectors to index.</param>
     /// <param name="similarity">The <see cref="VectorSimilarity"/> to use to search for top K-nearest neighbors.</param>
     /// <param name="dimensions">Number of vector dimensions that vector search enforces at index-time and query-time.</param>
     /// <param name="filterFields">Fields that may be used as filters in the vector query.</param>
-    public CreateVectorIndexModel(
+    public CreateVectorSearchIndexModel(
         FieldDefinition<TDocument> field,
         string name,
         VectorSimilarity similarity,
@@ -85,15 +85,15 @@ public CreateVectorIndexModel(
     }
 
     /// <summary>
-    /// Initializes a new instance of the <see cref="CreateVectorIndexModel{TDocument}"/> class, passing the
+    /// Initializes a new instance of the <see cref="CreateVectorSearchIndexModel{TDocument}"/> class, passing the
     /// required options for <see cref="VectorSimilarity"/> and the number of vector dimensions to the constructor.
     /// </summary>
     /// <param name="name">The index name.</param>
     /// <param name="field">An expression pointing to the field containing the vectors to index.</param>
     /// <param name="similarity">The <see cref="VectorSimilarity"/> to use to search for top K-nearest neighbors.</param>
     /// <param name="dimensions">Number of vector dimensions that vector search enforces at index-time and query-time.</param>
     /// <param name="filterFields">Expressions pointing to fields that may be used as filters in the vector query.</param>
-    public CreateVectorIndexModel(
+    public CreateVectorSearchIndexModel(
         Expression<Func<TDocument, object>> field,
         string name,
         VectorSimilarity similarity,
@@ -160,6 +160,6 @@ public BsonDocument Render(RenderArgs<TDocument> renderArgs)
             }
         }
 
-        return new BsonDocument { { "fields", BsonArray.Create(fieldDocuments) } };
+        return new BsonDocument { { "fields", new BsonArray(fieldDocuments) } };
     }
 }

src/MongoDB.Driver/MongoCollectionImpl.cs

@@ -1752,8 +1752,8 @@ private CreateSearchIndexesOperation CreateCreateIndexesOperation(
                         => new CreateSearchIndexRequest(
                             model.Name,
                             model.Type,
-                            model is CreateVectorIndexModel<TDocument> createVectorIndexModel
-                                ? createVectorIndexModel.Render(renderArgs)
+                            model is CreateVectorSearchIndexModel<TDocument> createVectorSearchIndexModel
+                                ? createVectorSearchIndexModel.Render(renderArgs)
                                 : model.Definition)),
                     _collection._messageEncoderSettings);
             }

tests/MongoDB.Driver.Tests/Search/AtlasSearchIndexManagmentTests.cs

@@ -259,7 +259,7 @@ public async Task Can_create_Atlas_vector_index_for_all_options_using_typed_API(
         {
             var indexName = async ? "test-index-vector-optional-async" : "test-index-vector-optional";
 
-            var indexModel = new CreateVectorIndexModel<EntityWithVector>(
+            var indexModel = new CreateVectorSearchIndexModel<EntityWithVector>(
                 e => e.Floats, indexName, VectorSimilarity.Cosine, dimensions: 2)
             {
                 HnswMaxEdges = 18, HnswNumEdgeCandidates = 102, Quantization = VectorQuantization.Scalar
@@ -295,7 +295,7 @@ public async Task Can_create_Atlas_vector_index_for_required_only_options_using_
         {
             var indexName = async ? "test-index-vector-required-async" : "test-index-vector-required";
 
-            var indexModel = new CreateVectorIndexModel<EntityWithVector>("vectors", indexName, VectorSimilarity.Euclidean, dimensions: 4);
+            var indexModel = new CreateVectorSearchIndexModel<EntityWithVector>("vectors", indexName, VectorSimilarity.Euclidean, dimensions: 4);
 
             var collection = _database.GetCollection<EntityWithVector>(_collection.CollectionNamespace.CollectionName);
             var createdName = async
@@ -327,7 +327,7 @@ public async Task Can_create_Atlas_vector_index_for_all_options_using_typed_API_
         {
             var indexName = async ? "test-index-vector-typed-filters-async" : "test-index-typed-filters";
 
-            var indexModel = new CreateVectorIndexModel<EntityWithVector>(
+            var indexModel = new CreateVectorSearchIndexModel<EntityWithVector>(
                 e => e.Floats,
                 indexName,
                 VectorSimilarity.Cosine,
@@ -376,7 +376,7 @@ public async Task Can_create_Atlas_vector_index_for_required_only_options_using_
         {
             var indexName = async ? "test-index-untyped-filters-async" : "test-index-untyped-filters";
 
-            var indexModel = new CreateVectorIndexModel<EntityWithVector>(
+            var indexModel = new CreateVectorSearchIndexModel<EntityWithVector>(
                 "vectors",
                 indexName,
                 VectorSimilarity.Euclidean,