Merge pull request #156 from Senparc/Developer

Developer

Author: JeffreySu

Samples/Senparc.AI.Samples.Consoles/Program.cs

@@ -51,6 +51,7 @@
 Console.WriteLine("-----------------------");
 Console.WriteLine($"当前模型：{SampleSetting.CurrentSettingKey} - {SampleSetting.CurrentSetting.AiPlatform} - {SampleSetting.CurrentSetting.Endpoint}");
 Console.WriteLine($"当前 HttpClient 日志开关：{(SampleSetting.EnableHttpClientLog ? "开启" : "关闭")}");
+Console.WriteLine($"当前向量数据库设置：{SampleSetting.CurrentSetting.VectorDB.Type} {SampleSetting.CurrentSetting.VectorDB.ConnectionString}");
 Console.WriteLine("=======================");
 Console.WriteLine();
 Console.WriteLine("请输入序号，开始对应功能测试：");

src/Senparc.AI.Kernel/KernelConfigExtensions/KernelConfigExtensions.Memory.cs

@@ -37,6 +37,7 @@ public static IWantToRun MemorySaveInformation(this IWantToRun iWantToRun,
             return iWantToRun;
         }
 
+        [Obsolete("Please use new methods", true)]
         public static IWantToRun MemorySaveReference(this IWantToRun iWantToRun,
                string modelName,
                string collection,

src/Senparc.AI.Kernel/KernelConfigExtensions/KernelConfigExtensions.cs

@@ -10,6 +10,7 @@
 using Microsoft.Extensions.VectorData;
 using Microsoft.SemanticKernel;
 using Microsoft.SemanticKernel.ChatCompletion;
+using Microsoft.SemanticKernel.Connectors.InMemory;
 using Microsoft.SemanticKernel.Connectors.Qdrant;
 using Microsoft.SemanticKernel.Connectors.Redis;
 using OllamaSharp.Models;
@@ -217,7 +218,6 @@ public static IWantToConfig ConfigVectorStore(this IWantToConfig iWantToConfig,
                     }
                 case VectorDB.VectorDBType.SqlServer:
                     {
-
                         break;
                     }
                 case VectorDB.VectorDBType.SQLite:
@@ -226,14 +226,33 @@ public static IWantToConfig ConfigVectorStore(this IWantToConfig iWantToConfig,
                     }
                 case VectorDB.VectorDBType.Weaviate:
                     {
-
                         break;
                     }
-                default:
+                case VectorDB.VectorDBType.Faiss:
+                    {
+                        break;
+                    }
+                case VectorDB.VectorDBType.InMemory:
+                    {
+                        servives.AddInMemoryVectorStore();
+                        break;
+                    }
+                case VectorDB.VectorDBType.JDBC:
                     {
-
                         break;
                     }
+                case VectorDB.VectorDBType.Pinecon:
+                    {
+                        break;
+                    }
+                case VectorDB.VectorDBType.VolatileInMemory:
+                    {
+                        break;
+                    }
+                default:
+                    {
+                        throw new ArgumentOutOfRangeException(nameof(vectorDb.Type), $"Unsupported VectorDB type: {vectorDb.Type}");
+                    }
             }
 
             return iWantToConfig;
@@ -323,6 +342,28 @@ public static VectorStoreCollection<TKey, TRecord> GetVectorCollection<TKey, TRe
                 case VectorDB.VectorDBType.Weaviate:
                     {
 
+                        break;
+                    }
+                case VectorDB.VectorDBType.Faiss:
+                    {
+                        break;
+                    }
+                case VectorDB.VectorDBType.InMemory:
+                    {
+                        vectorStore = new InMemoryVectorStore();
+                        collection = vectorStore.GetCollection<TKey, TRecord>(name, vectorStoreRecordDefinition);
+                        break;
+                    }
+                case VectorDB.VectorDBType.JDBC:
+                    {
+                        break;
+                    }
+                case VectorDB.VectorDBType.Pinecon:
+                    {
+                        break;
+                    }
+                case VectorDB.VectorDBType.VolatileInMemory:
+                    {
                         break;
                     }
                 default:

src/Senparc.AI.Kernel/Senparc.AI.Kernel.csproj

@@ -2,7 +2,7 @@
 <Project Sdk="Microsoft.NET.Sdk">
 	<PropertyGroup>
 		<TargetFramework>netstandard2.1</TargetFramework>
-		<Version>0.24.0</Version>
+		<Version>0.25.0</Version>
 		<Nullable>enable</Nullable>
 		<LangVersion>12.0</LangVersion>
 		<AssemblyName>Senparc.AI.Kernel</AssemblyName>
@@ -57,7 +57,8 @@
 			[2025-02-02] v0.23.0-beta1 Upgrade support for Ollama, finished test for DeepSeek-r1 and nomic-embed-text:v1.5
 			[2025-05-10] v0.23.3 Support result.GetLastFunctionResultContent() function
 			[2025-05-10] v0.23.4 Upgrade for Chat history limit
-			[2025-06-01] v0.24.0 Upgrade for vector database; update Sample for Embedding and RAG
+			[2025-06-01] v0.24.0 Upgrade for vector database, support for Qdrant; update Sample for Embedding and RAG
+			[2025-06-02] v0.25.0 Upgrade for vector database, support for InMemory; update Sample for Embedding and RAG
 		</PackageReleaseNotes>
 		<RepositoryUrl>https://github.com/Senparc/Senparc.AI.Kernel</RepositoryUrl>
 		<Configurations>Debug;Release;Test</Configurations>
@@ -78,6 +79,7 @@
 		<PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.5.0" />
 		<PackageReference Include="Microsoft.SemanticKernel" Version="1.54.0" />
 		<PackageReference Include="Microsoft.SemanticKernel.Connectors.HuggingFace" Version="1.54.0-preview" />
+		<PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.54.0-preview" />
 		<PackageReference Include="Microsoft.SemanticKernel.Connectors.Ollama" Version="1.54.0-alpha" />
 		<PackageReference Include="Microsoft.SemanticKernel.Connectors.Qdrant" Version="1.54.0-preview" />
 		<PackageReference Include="Microsoft.SemanticKernel.Connectors.Redis" Version="1.54.0-preview" />

src/Senparc.AI/Interfaces/ISenparcAiSetting.cs

@@ -198,16 +198,21 @@ public enum VectorDBType
             AzureAISearch,
             CosmosDBMongoDB,
             CosmosDBNoSQL,
+            Chroma,     //Planed
             Couchbase,
             Elasticsearch,
-            Chroma,     //Planed
-            Milvus,     //Planed
+            Faiss,
+            InMemory,
+            JDBC,
+            Milvus,     //Planed (not included in https://learn.microsoft.com/en-us/semantic-kernel/concepts/vector-store-connectors/out-of-the-box-connectors/inmemory-connector?pivots=programming-language-csharp)
             MongoDB,
+            Pinecon,
             Postgres,
             Qdrant,
             Redis,
             SqlServer,  //Planed
             SQLite,
+            VolatileInMemory,
             Weaviate,
             Default = Redis,
         }