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YoanKarYoanKar
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GenAI SDK demos (#28)
* Net Standard GenAI demos. * named repo folders correctly * Added net8-windows projects * removed Spread demo an polished Fixed and Flow demos * FIxed namespaces * Removed unused references and files. * Flow Demo: Removed unused references and file.
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‎PdfProcessing/AIConnectorDemo/AIConnectorDemo.csproj‎

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</PropertyGroup>
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<ItemGroup>
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<Compile Remove="OllamaEmbeddingsStorage.cs" />
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<Compile Remove="CustomOpenAIEmbedder.cs" />
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<Compile Remove="TextLoader.cs" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" Version="2.2.0-beta.2" />
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<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.3.0-preview.1.25161.3" />
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<PackageReference Include="Telerik.Windows.Documents.AIConnector" Version="2025.2.520" />
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<PackageReference Include="Telerik.Windows.Documents.Fixed" Version="2025.2.520" />
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<PackageReference Include="Telerik.Windows.Documents.AIConnector" Version="2025.4.1104" />
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<PackageReference Include="Telerik.Windows.Documents.Fixed" Version="2025.4.1104" />
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</ItemGroup>
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<ItemGroup>

‎PdfProcessing/AIConnectorDemo/AIConnectorDemo_NetStandard.csproj‎

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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" Version="2.2.0-beta.2" />
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<PackageReference Include="LangChain" Version="0.17.1-dev.12" />
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<PackageReference Include="LangChain.Core" Version="0.17.1-dev.12" />
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<PackageReference Include="LangChain.Databases.Sqlite" Version="0.17.1-dev.5" />
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<PackageReference Include="LangChain.Providers.Ollama" Version="0.17.1-dev.20" />
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<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.3.0-preview.1.25161.3" />
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<PackageReference Include="Telerik.Documents.AIConnector" Version="2025.2.520" />
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<PackageReference Include="Telerik.Documents.Fixed" Version="2025.2.520" />
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<PackageReference Include="Telerik.Documents.AIConnector" Version="2025.4.1104" />
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<PackageReference Include="Telerik.Documents.Fixed" Version="2025.4.1104" />
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</ItemGroup>
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<ItemGroup>

‎PdfProcessing/AIConnectorDemo/CustomOpenAIEmbedder.cs‎

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using System.Net.Http;
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using System.Net.Http.Headers;
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using System.Text;
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using System.Text.Json;
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using Telerik.Documents.AI.Core;
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namespace AIConnectorDemo
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{
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public class CustomOpenAIEmbedder : IEmbedder
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{
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private readonly HttpClient httpClient;
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public CustomOpenAIEmbedder()
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{
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HttpClient httpClient = new HttpClient();
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httpClient.Timeout = TimeSpan.FromMinutes(5);
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string endpoint = Environment.GetEnvironmentVariable("AZUREEMBEDDINGOPENAI_ENDPOINT");
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string apiKey = Environment.GetEnvironmentVariable("AZUREEMBEDDINGOPENAI_KEY");
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httpClient.BaseAddress = new Uri(endpoint);
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httpClient.DefaultRequestHeaders.Add("api-key", apiKey);
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httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
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this.httpClient = httpClient;
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}
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public async Task<IList<Embedding>> EmbedAsync(IList<IFragment> fragments)
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{
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AzureEmbeddingsRequest requestBody = new AzureEmbeddingsRequest
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{
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Input = fragments.Select(p => p.ToEmbeddingText()).ToArray(),
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Dimensions = 3072
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};
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string json = JsonSerializer.Serialize(requestBody);
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StringContent content = new StringContent(json, Encoding.UTF8, "application/json");
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string apiVersion = Environment.GetEnvironmentVariable("AZUREEMBEDDINGOPENAI_APIVERSION");
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string deploymentName = Environment.GetEnvironmentVariable("AZUREEMBEDDINGOPENAI_DEPLOYMENT");
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string url = $"openai/deployments/{deploymentName}/embeddings?api-version={apiVersion}";
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using HttpResponseMessage response = await this.httpClient.PostAsync(url, content, CancellationToken.None);
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Embedding[] embeddings = new Embedding[fragments.Count];
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string responseJson = await response.Content.ReadAsStringAsync(CancellationToken.None);
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AzureEmbeddingsResponse responseObj = JsonSerializer.Deserialize<AzureEmbeddingsResponse>(responseJson);
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List<EmbeddingData> sorted = responseObj.Data.OrderBy(d => d.Index).ToList();
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List<float[]> result = new List<float[]>(sorted.Count);
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for (int i = 0; i < sorted.Count; i++)
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{
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EmbeddingData item = sorted[i];
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embeddings[i] = new Embedding(fragments[i], item.Embedding);
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}
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return embeddings;
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}
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private sealed class AzureEmbeddingsRequest
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{
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[System.Text.Json.Serialization.JsonPropertyName("input")]
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public string[] Input { get; set; } = Array.Empty<string>();
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[System.Text.Json.Serialization.JsonPropertyName("dimensions")]
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public int? Dimensions { get; set; }
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}
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private sealed class AzureEmbeddingsResponse
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{
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[System.Text.Json.Serialization.JsonPropertyName("data")]
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public EmbeddingData[] Data { get; set; } = Array.Empty<EmbeddingData>();
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[System.Text.Json.Serialization.JsonPropertyName("model")]
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public string? Model { get; set; }
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[System.Text.Json.Serialization.JsonPropertyName("usage")]
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public UsageInfo? Usage { get; set; }
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}
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private sealed class UsageInfo
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{
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[System.Text.Json.Serialization.JsonPropertyName("prompt_tokens")]
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public int PromptTokens { get; set; }
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[System.Text.Json.Serialization.JsonPropertyName("total_tokens")]
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public int TotalTokens { get; set; }
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}
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private sealed class EmbeddingData
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{
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[System.Text.Json.Serialization.JsonPropertyName("embedding")]
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public float[] Embedding { get; set; } = Array.Empty<float>();
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[System.Text.Json.Serialization.JsonPropertyName("index")]
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public int Index { get; set; }
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}
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}
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}

‎PdfProcessing/AIConnectorDemo/OllamaEmbeddingsStorage.cs‎

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This file was deleted.

‎PdfProcessing/AIConnectorDemo/Program.cs‎

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using Microsoft.Extensions.AI;
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using OpenAI.Chat;
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using System.IO;
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using Telerik.Documents.AI.Core;
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#if NETWINDOWS
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using Telerik.Windows.Documents.AIConnector;
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#else
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internal class Program
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{
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static int maxTokenCount = 128000;
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static int maxNumberOfEmbeddingsSent = 50000;
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static IChatClient iChatClient;
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static string tokenizationEncoding = "cl100k_base";
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static string model = "gpt-4o-mini";
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static string key = Environment.GetEnvironmentVariable("AZUREOPENAI_KEY");
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static string endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT");
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static void Main(string[] args)
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{
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Console.WriteLine("Hello, World!");
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CreateChatClient();
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using (Stream input = File.OpenRead("John Grisham.pdf"))
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{
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PdfFormatProvider pdfFormatProvider = new PdfFormatProvider();
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RadFixedDocument inputPdf = pdfFormatProvider.Import(input, null);
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ISimpleTextDocument simpleDocument = inputPdf.ToSimpleTextDocument();
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SimpleTextDocument simpleDocument = inputPdf.ToSimpleTextDocument(TimeSpan.FromSeconds(10));
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Summarize(simpleDocument);
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private static void CreateChatClient()
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{
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string key = Environment.GetEnvironmentVariable("AZUREOPENAI_KEY");
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string endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT");
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string model = "gpt-4o-mini";
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AzureOpenAIClient azureClient = new(
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new Uri(endpoint),
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new Azure.AzureKeyCredential(key),
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iChatClient = new OpenAIChatClient(chatClient);
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}
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private static void Summarize(ISimpleTextDocument simpleDocument)
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private static void Summarize(SimpleTextDocument simpleDocument)
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{
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SummarizationProcessor summarizationProcessor = new SummarizationProcessor(iChatClient, maxTokenCount);
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summarizationProcessor.Settings.PromptAddition = "Summarize the text in a few sentences. Be concise and clear.";
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string additionalPrompt = "Summarize the text in a few sentences. Be concise and clear.";
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SummarizationProcessorSettings summarizationProcessorSettings = new SummarizationProcessorSettings(maxTokenCount, additionalPrompt);
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SummarizationProcessor summarizationProcessor = new SummarizationProcessor(iChatClient, summarizationProcessorSettings);
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summarizationProcessor.SummaryResourcesCalculated += SummarizationProcessor_SummaryResourcesCalculated;
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string summary = summarizationProcessor.Summarize(simpleDocument).Result;
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e.ShouldContinueExecution = true;
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}
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private static void AskQuestion(ISimpleTextDocument simpleDocument)
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private static void AskQuestion(SimpleTextDocument simpleDocument)
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{
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CompleteContextQuestionProcessor completeContextQuestionProcessor = new CompleteContextQuestionProcessor(iChatClient, maxTokenCount);
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CompleteContextProcessorSettings completeContextProcessorSettings = new CompleteContextProcessorSettings(maxTokenCount, model, tokenizationEncoding, false);
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CompleteContextQuestionProcessor completeContextQuestionProcessor = new CompleteContextQuestionProcessor(iChatClient, completeContextProcessorSettings);
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string question = "How many pages is the document and what is it about?";
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string answer = completeContextQuestionProcessor.AnswerQuestion(simpleDocument, question).Result;
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Console.WriteLine(question);
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Console.WriteLine(answer);
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}
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private static void AskPartialContextQuestion(ISimpleTextDocument simpleDocument)
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private static void AskPartialContextQuestion(SimpleTextDocument simpleDocument)
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{
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var settings = EmbeddingSettingsFactory.CreateSettingsForTextDocuments(maxTokenCount, model, tokenizationEncoding, maxNumberOfEmbeddingsSent);
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#if NETWINDOWS
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PartialContextQuestionProcessor partialContextQuestionProcessor = new PartialContextQuestionProcessor(iChatClient, maxTokenCount, simpleDocument);
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PartialContextQuestionProcessor partialContextQuestionProcessor = new PartialContextQuestionProcessor(iChatClient, settings, simpleDocument);
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#else
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IEmbeddingsStorage embeddingsStorage = new OllamaEmbeddingsStorage();
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PartialContextQuestionProcessor partialContextQuestionProcessor = new PartialContextQuestionProcessor(iChatClient, embeddingsStorage, maxTokenCount, simpleDocument);
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IEmbedder embedder = new CustomOpenAIEmbedder();
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PartialContextQuestionProcessor partialContextQuestionProcessor = new PartialContextQuestionProcessor(iChatClient, embedder, settings, simpleDocument);
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string question = "What is the last book by John Grisham?";
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string answer = partialContextQuestionProcessor.AnswerQuestion(question).Result;

‎PdfProcessing/AIConnectorDemo/ReadMe.md‎

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In order to run the project, you need to replace the key and endpoint with your Azure Open AI key and endpoint.
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They are located in the launchSettings.json file in the Properties folder.
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In NetStandard you need to implement IEmbeddingsStorage if you would like to use the PartialContextQuestionProcessor.
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There is a sample implementation called OllamaEmbeddingsStorage in the NetStandard project.
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For it to work the Ollama server needs to be running locally. You can follow these steps to run it:
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1. Install Ollama: https://ollama.com/
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2. Pull the all-minilm model we'll use for embeddings: ollama pull all-minilm
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3. Ensure Ollama is running: ollama serve
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In NetStandard you need to implement IEmbedder if you would like to use the PartialContextQuestionProcessor.
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There is a sample implementation called CustomOpenAIEmbedder in the NetStandard project.

‎PdfProcessing/AIConnectorDemo/TextLoader.cs‎

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‎PdfProcessing/PdfProcessing_NetStandard.sln‎

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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio Version 17
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VisualStudioVersion = 17.13.35919.96 d17.13
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VisualStudioVersion = 17.13.35919.96
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MinimumVisualStudioVersion = 10.0.40219.1
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "CreateDocumentWithImages_NetStandard", "CreateDocumentWithImages\CreateDocumentWithImages_NetStandard.csproj", "{D7CA01E8-E777-4D18-B960-AA0F62040F87}"
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EndProject

‎WordsProcessing/AIConnectorDemo/AIConnectorDemo.csproj‎

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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net8.0-windows</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<UseWPF>true</UseWPF>
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</PropertyGroup>
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<PropertyGroup>
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<DefineConstants>NETWINDOWS;$(DefineConstants)</DefineConstants>
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</PropertyGroup>
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<ItemGroup>
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<Compile Remove="CustomOpenAIEmbedder.cs" />
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<Compile Remove="TextLoader.cs" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" Version="2.2.0-beta.2" />
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<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.3.0-preview.1.25161.3" />
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<PackageReference Include="Telerik.Windows.Documents.AIConnector" Version="2025.4.1104" />
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<PackageReference Include="Telerik.Windows.Documents.Flow" Version="2025.4.1104" />
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</ItemGroup>
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<ItemGroup>
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<None Update="GenAI Document Insights Test Document.docx">
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<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
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</None>
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</ItemGroup>
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</Project>

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