sample

docs/how-to/intent-detection.md

@@ -70,4 +70,4 @@ private static async Task AskForIntent(string request)
 }
 ```
 
-You can also review [Intent Detection working example](../../examples/007-dotnet-WebClient-Intent-Detection/README.md)
+You can also review [Intent Detection working example](https://github.com/microsoft/kernel-memory/tree/main/examples/211-dotnet-WebClient-Intent-Detection/README.md)

examples/001-dotnet-WebClient/README.md

@@ -3,19 +3,13 @@
 This example shows how to import multiple files and ask questions, delegating
 the work to the Kernel Memory Service.
 
-### There are two ways to run this example:
-
-1. The example points to `https://127.0.0.1:9001` so you should start the
-   Kernel Memory Service locally before running this example.
-
-2. You can easily deploy Kernel Memory to Azure by following procedure on [this page](../../infra/README.md).
+## Running the example locally
 
+The example points to `http://127.0.0.1:9001` so you should start the Kernel Memory Service locally before running this example.
 Start `dotnet/Service/Service.csproj`. See `dotnet/Service/README.md` for details.
 
 ```csharp
 var memory = new MemoryWebClient("http://127.0.0.1:9001/");
-// In case you have deployed the service to Azure, you can use the following code:
-// s_memory = new MemoryWebClient("https://AZURE_CONTAINER_APP_ENDPOINT.azurecontainerapps.io/", apiKey: "KEY_YOU_PROVIDED_WHEN_DEPLOYING");
 
 await memory.ImportDocumentAsync(new Document("doc012")
     .AddFiles([ "file2.txt", "file3.docx", "file4.pdf" ])
@@ -29,6 +23,14 @@ while (!await memory.IsDocumentReadyAsync(documentId: "doc012"))
 string answer = await memory.AskAsync("What's Semantic Kernel?");
 ```
 
-# Run the example
+### Run the example
 
 To run the example, depending on your platform, execute either `run.sh` or `run.cmd` or just `dotnet run`
+
+## Running the example with KM on Azure
+
+You can easily deploy Kernel Memory to Azure by following procedure on [this page](../../infra/README.md). Next, you will need to update one line in `Program.cs` to point to the Azure Public IP created during the deployment, you will also need to provide the API key you used when deploying the service.
+
+```csharp
+var memory = new MemoryWebClient("http://[IP ADDRESS]/", apiKey: "KEY_YOU_PROVIDED_WHEN_DEPLOYING");
+```

examples/007-dotnet-WebClient-Intent-Detection/Program.cs → examples/211-dotnet-WebClient-Intent-Detection/Program.cs

@@ -20,7 +20,7 @@ public static class Program
 
     public static async Task Main()
     {
-        s_memory = new MemoryWebClient("https://km-service-5798c2.gentlemeadow-e01ece56.eastus2.azurecontainerapps.io/", apiKey: "6957f639-2c52-4ecc-8823-ef9b086095c1");
+        s_memory = new MemoryWebClient("http://127.0.0.1:9001/");
 
         // =======================
         // === INGESTION =========

examples/README.md

@@ -9,24 +9,24 @@ Some examples about how to use Kernel Memory.
 5. [Processing files with custom logic (custom handlers) in serverless mode](004-dotnet-serverless-custom-pipeline)
 6. [Processing files with custom logic (custom handlers) in asynchronous mode](005-dotnet-AsyncMemoryCustomPipeline)
 7. [Upload files and ask questions from command line using curl](006-curl-calling-webservice)
-8. [Intent Detection](007-dotnet-WebClient-Intent-Detection)
-9. [Customizing RAG and summarization prompts](101-dotnet-custom-Prompts)
-10. [Custom partitioning/text chunking options](102-dotnet-custom-partitioning-options)
-11. [Using a custom embedding/vector generator](103-dotnet-custom-EmbeddingGenerator)
-12. [Using custom LLMs](104-dotnet-custom-LLM)
-13. [Using LLama](105-dotnet-serverless-llamasharp)
-14. [Summarizing documents, using synthetic memories](106-dotnet-retrieve-synthetics)
-15. [Using Semantic Kernel LLM connectors](107-dotnet-SemanticKernel-TextCompletion)
-16. [Using custom content decoders](108-dotnet-custom-content-decoders)
-17. [Using a custom web scraper to fetch web pages](109-dotnet-custom-webscraper)
-18. [Generating answers with Anthropic LLMs](110-dotnet-anthropic)
-19. [Hybrid Search with Azure AI Search](111-dotnet-azure-ai-hybrid-search)
-20. [Writing and using a custom ingestion handler](201-dotnet-serverless-custom-handler)
-21. [Running a single asynchronous pipeline handler as a standalone service](202-dotnet-custom-handler-as-a-service)
-22. [Test project using KM package from nuget.org](203-dotnet-using-core-nuget)
-23. [Integrating Memory with ASP.NET applications and controllers](204-dotnet-ASP.NET-MVC-integration)
-24. [Sample code showing how to extract text from files](205-dotnet-extract-text-from-docs)
-25. [.NET configuration and logging](206-dotnet-configuration-and-logging)
-26. [Expanding chunks retrieving adjacent partitions](207-dotnet-expanding-chunks-on-retrieval)
-27. [Using local models via LM Studio](208-dotnet-lmstudio)
+8. [Customizing RAG and summarization prompts](101-dotnet-custom-Prompts)
+9. [Custom partitioning/text chunking options](102-dotnet-custom-partitioning-options)
+10. [Using a custom embedding/vector generator](103-dotnet-custom-EmbeddingGenerator)
+11. [Using custom LLMs](104-dotnet-custom-LLM)
+12. [Using LLama](105-dotnet-serverless-llamasharp)
+13. [Summarizing documents, using synthetic memories](106-dotnet-retrieve-synthetics)
+14. [Using Semantic Kernel LLM connectors](107-dotnet-SemanticKernel-TextCompletion)
+15. [Using custom content decoders](108-dotnet-custom-content-decoders)
+16. [Using a custom web scraper to fetch web pages](109-dotnet-custom-webscraper)
+17. [Generating answers with Anthropic LLMs](110-dotnet-anthropic)
+18. [Hybrid Search with Azure AI Search](111-dotnet-azure-ai-hybrid-search)
+19. [Writing and using a custom ingestion handler](201-dotnet-serverless-custom-handler)
+20. [Running a single asynchronous pipeline handler as a standalone service](202-dotnet-custom-handler-as-a-service)
+21. [Test project using KM package from nuget.org](203-dotnet-using-core-nuget)
+22. [Integrating Memory with ASP.NET applications and controllers](204-dotnet-ASP.NET-MVC-integration)
+23. [Sample code showing how to extract text from files](205-dotnet-extract-text-from-docs)
+24. [.NET configuration and logging](206-dotnet-configuration-and-logging)
+25. [Expanding chunks retrieving adjacent partitions](207-dotnet-expanding-chunks-on-retrieval)
+26. [Using local models via LM Studio](208-dotnet-lmstudio)
+27. [Intent Detection](211-dotnet-WebClient-Intent-Detection)
 28. [Fetching data from Discord](301-discord-test-application)