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解锁GraphRag.Net的无限可能:手把手教你集成国产模型和本地模型
发布日期:2024-08-13 08:05:12 浏览次数: 1736



        通过前两篇文章,相信你已经了解到GraphRag.Net目前只支持OpenAI规范的接口,但许多小伙伴在社区中提议,希望能增加对本地模型(例如:ollama等)的支持。所以这次,我们将探讨如何在GraphRag.Net中使用自定义模型和本地模型。


为什么选择GraphRag.Net?

        GraphRag.Net采用了Semantic Kernel作为基础,让我们能够非常简洁地抽象出会话与向量接口。因此,用户可以非常方便地实现自己定制的解决方案。接下来,我们会通过一个具体的例子,展示如何将本地模型和国产模型集成到GraphRag.Net中。


默认配置方法

        首先,我们来看看如何进行默认配置:

    // OpenAI配置builder.Configuration.GetSection("OpenAI").Get<OpenAIOption>();// 文档切片配置builder.Configuration.GetSection("TextChunker").Get<TextChunkerOption>();// 配置数据库连接builder.Configuration.GetSection("GraphDBConnection").Get<GraphDBConnectionOption>();
    // 注意,需要先注入配置文件,然后再注入GraphRag.Netbuilder.Services.AddGraphRagNet();

            这里,我们将在默认配置中注入OpenAI的配置、文本切片的配置和数据库连接的配置。然后,依次注入这些配置文件和GraphRag.Net的服务。


    自定义配置方法

            如果需要自定义模型或本地模型,可能需要实现一些额外的服务接口,下面是自定义配置的示例:

      var kernelBuild = Kernel.CreateBuilder();kernelBuild.Services.AddKeyedSingleton<ITextGenerationService>("mock-text", new MockTextCompletion());kernelBuild.Services.AddKeyedSingleton<IChatCompletionService>("mock-chat", new MockChatCompletion());kernelBuild.Services.AddSingleton<ITextEmbeddingGenerationService>(new MockTextEmbeddingGeneratorService());kernelBuild.Services.AddKeyedSingleton("mock-embedding", new MockTextEmbeddingGeneratorService());
      builder.Services.AddGraphRagNet(kernelBuild.Build());

      在这个自定义配置示例中,我们引入了三个自定义服务接口:ITextGenerationServiceIChatCompletionServiceITextEmbeddingGenerationService

      实现自定义服务接口

      接下来,我们需要为每个服务接口提供具体的实现。以下是三个接口的具体实现:

      实现IChatCompletionService

        public class MockChatCompletion : IChatCompletionService{private readonly Dictionary<string, object?> _attributes = new();private string _chatId;

        private static readonly JsonSerializerOptions _jsonSerializerOptions = new(){NumberHandling = JsonNumberHandling.AllowReadingFromString,Encoder = JavaScriptEncoder.Create(UnicodeRanges.All)};
        public IReadOnlyDictionary<string, object?> Attributes => _attributes;
        public MockChatCompletion(){
        }
        public async Task<IReadOnlyList<ChatMessageContent>> GetChatMessageContentsAsync(ChatHistory chatHistory, PromptExecutionSettings? executionSettings = null, Kernel? kernel = null, [EnumeratorCancellation] CancellationToken cancellationToken = default){StringBuilder sb = new();string result = $"这是一条Mock数据,便于聊天测试,你的消息是:{chatHistory.LastOrDefault().ToString()}";return [new(AuthorRole.Assistant, result.ToString())];}
        public async IAsyncEnumerable<StreamingChatMessageContent> GetStreamingChatMessageContentsAsync(ChatHistory chatHistory, PromptExecutionSettings? executionSettings = null, Kernel? kernel = null, [EnumeratorCancellation] CancellationToken cancellationToken = default){StringBuilder sb = new();string result = $"这是一条Mock数据,便于聊天测试,你的消息是:{chatHistory.LastOrDefault().ToString()}";foreach (var c in result){yield return new StreamingChatMessageContent(AuthorRole.Assistant, c.ToString());}}}

        实现ITextGenerationService

           public class MockTextCompletion : ITextGenerationService, IAIService { private readonly Dictionary<string, object?> _attributes = new(); private string _chatId;
          private static readonly JsonSerializerOptions _jsonSerializerOptions = new() { NumberHandling = JsonNumberHandling.AllowReadingFromString, Encoder = JavaScriptEncoder.Create(UnicodeRanges.All) };
          public IReadOnlyDictionary<string, object?> Attributes => _attributes;
          public MockTextCompletion() {
          }
          public async Task<IReadOnlyList<TextContent>> GetTextContentsAsync(string prompt, PromptExecutionSettings? executionSettings = null, Kernel? kernel = null, CancellationToken cancellationToken = default) { StringBuilder sb = new(); string result = $"这是一条Mock数据,便于聊天测试,你的消息是:{prompt}"; return [new(result.ToString())]; }
          public async IAsyncEnumerable<StreamingTextContent> GetStreamingTextContentsAsync(string prompt, PromptExecutionSettings? executionSettings = null, Kernel? kernel = null, CancellationToken cancellationToken = default) { StringBuilder sb = new(); string result = $"这是一条Mock数据,便于聊天测试,你的消息是:{prompt}"; foreach (var c in result) { var streamingTextContent = new StreamingTextContent(c.ToString(), modelId: "mock");
          yield return streamingTextContent; } } }

          实现ITextEmbeddingGenerationService

            public sealed class MockTextEmbeddingGeneratorService : ITextEmbeddingGenerationService{private Dictionary<string, object?> AttributesInternal { get; } = [];public IReadOnlyDictionary<string, object?> Attributes => this.AttributesInternal;public MockTextEmbeddingGeneratorService(){
            }public async Task<IList<ReadOnlyMemory<float>>> GenerateEmbeddingsAsync(IList<string> data,Kernel? kernel = null,CancellationToken cancellationToken = default){IList<ReadOnlyMemory<float>> results = new List<ReadOnlyMemory<float>>();
            float[] array1 = { 1.0f, 2.0f, 3.0f };float[] array2 = { 4.0f, 5.0f, 6.0f };float[] array3 = { 7.0f, 8.0f, 9.0f };
            // 将数组包装为ReadOnlyMemory<float>并添加到列表中results.Add(new ReadOnlyMemory<float>(array1));results.Add(new ReadOnlyMemory<float>(array2));results.Add(new ReadOnlyMemory<float>(array3));
            return results;}
            public void Dispose(){
            }}

                    看到这里,你可能已经发现,集成自定义模型和本地模型非常简单。只需按照上述步骤,实现相应的接口并注入配置,你就可以在GraphRag.Net中使用这些自定义的功能。


            结语

                    通过本文的介绍,我们了解了如何在GraphRag.Net中集成国产模型和本地模型。希望大家能够根据这些示例,开发出更多适合自己需求的功能。更多精彩内容,欢迎关注我的公众号,并发送进群加入我们的GraphRag.Net交流群,与社区小伙伴们一起交流学习!

                    感谢阅读,我们下期再见!


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