style: Run dotnet format

examples/LangChain.Samples.LocalRAG/Program.cs

@@ -21,7 +21,7 @@
     collectionName: "harrypotter", // Can be omitted, use if you want to have multiple collections
     textSplitter: null,
     behavior: AddDocumentsToDatabaseBehavior.JustReturnCollectionIfCollectionIsAlreadyExists);
-     
+
 
 const string question = "What is Harry's Address?";
 var similarDocuments = await vectorCollection.GetSimilarDocuments(embeddingModel, question, amount: 5);

src/Core/src/Extensions/AddDocumentsToDatabaseBehavior.cs

@@ -6,12 +6,12 @@ public enum AddDocumentsToDatabaseBehavior
     /// If the collection already exists, it will be returned without any changes.
     /// </summary>
     JustReturnCollectionIfCollectionIsAlreadyExists,
-    
+
     /// <summary>
     /// If the collection already exists, it will be deleted and recreated.
     /// </summary>
     OverwriteExistingCollection,
-    
+
     /// <summary>
     /// If the collection already exists, all documents will be added to the existing collection.
     /// </summary>

src/Core/src/Extensions/VectorDatabaseExtensions.cs

@@ -53,7 +53,7 @@ await vectorDatabase.DeleteCollectionAsync(
                 collectionName: collectionName,
                 cancellationToken: cancellationToken).ConfigureAwait(false);
         }
-        
+
         var vectorCollection = await vectorDatabase.GetOrCreateCollectionAsync(
             collectionName: collectionName,
             dimensions: dimensions,

src/Serve/OpenAI/ServeController.cs

@@ -13,7 +13,7 @@ public ModelsList GetModel()
             Models = options.ListModels().Select(static x => new Model(x, ownedBy: "OpenAI")).ToList()
         };
     }
-    
+
     public ModelsList ListModels()
     {
         return new ModelsList

src/Serve/OpenAI/ServeExtensions.cs

@@ -32,7 +32,7 @@ public static WebApplication UseLangChainServeOpenAi(this WebApplication app, Ac
         app.MapPost("/v1/chat/completions", async (ChatRequest request) =>
         {
             var llm = serveMiddlewareOptions.GetModel(request.Model);
-            
+
             var response = await llm.GenerateAsync(new LangChain.Providers.ChatRequest
             {
                 Messages = request.Messages.Select(x => new LangChain.Providers.Message
@@ -47,7 +47,7 @@ public static WebApplication UseLangChainServeOpenAi(this WebApplication app, Ac
                     }
                 }).ToList(),
             }).ConfigureAwait(false);
-            
+
             return Results.Ok(new ChatResponse());
         });