Added await when calling async DecodeAsync method with disposable item.

examples/205-dotnet-extract-text-from-docs/Program.cs

@@ -3,6 +3,7 @@
 using Microsoft.KernelMemory.DataFormats;
 using Microsoft.KernelMemory.DataFormats.Office;
 using Microsoft.KernelMemory.DataFormats.Pdf;
+using Microsoft.KernelMemory.DataFormats.Text;
 using Microsoft.KernelMemory.Pipeline;
 
 FileContent content = new(MimeTypes.PlainText);
@@ -101,3 +102,24 @@
     Console.WriteLine(section.Content);
     Console.WriteLine("-----");
 }
+
+Console.WriteLine("============================");
+Console.WriteLine("Press a Enter to continue...");
+Console.ReadLine();
+
+
+// ===================================================================================================================
+// Markdown
+Console.WriteLine("===========================");
+Console.WriteLine("=== Text in markdown.md ===");
+Console.WriteLine("===========================");
+
+var mdDecoder = new MarkDownDecoder();
+content = await mdDecoder.DecodeAsync("markdown.md");
+
+foreach (Chunk section in content.Sections)
+{
+    Console.WriteLine($"Page: {section.Number}/{content.Sections.Count}");
+    Console.WriteLine(section.Content);
+    Console.WriteLine("-----");
+}

examples/205-dotnet-extract-text-from-docs/markdown.md

@@ -0,0 +1,22 @@
+Kernel Memory
+=============
+
+This repository presents best practices and a reference implementation for Memory in specific AI
+and LLMs application scenarios. Please note that **the code provided serves as a demonstration**
+and is **not an officially supported** Microsoft offering.
+
+**Kernel Memory** (KM) is a **multi-modal [AI Service](service/Service/README.md)** specialized
+in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support
+for **[Retrieval Augmented Generation](https://en.wikipedia.org/wiki/Prompt_engineering#Retrieval-augmented_generation)**
+(RAG), synthetic memory, prompt engineering, and custom semantic memory processing.
+
+KM is available as a **Web Service**, as a **[Docker container](https://hub.docker.com/r/kernelmemory/service)**,
+a **[Plugin](https://learn.microsoft.com/copilot/plugins/overview)** for ChatGPT/Copilot/Semantic
+Kernel, and as a .NET library for embedded applications.
+
+Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining
+answers from the indexed data, complete with citations and links to the original sources.
+
+Kernel Memory is designed for seamless integration as a Plugin with [Semantic Kernel](https://github.com/microsoft/semantic-kernel),
+Microsoft Copilot and ChatGPT.
+

service/Core/DataFormats/Text/MarkDownDecoder.cs

@@ -28,10 +28,10 @@ public bool SupportsMimeType(string mimeType)
     }
 
     /// <inheritdoc />
-    public Task<FileContent> DecodeAsync(string filename, CancellationToken cancellationToken = default)
+    public async Task<FileContent> DecodeAsync(string filename, CancellationToken cancellationToken = default)
     {
         using var stream = File.OpenRead(filename);
-        return this.DecodeAsync(stream, cancellationToken);
+        return await this.DecodeAsync(stream, cancellationToken).ConfigureAwait(false);
     }
 
     /// <inheritdoc />

service/Core/DataFormats/Text/TextDecoder.cs

@@ -31,10 +31,10 @@ public bool SupportsMimeType(string mimeType)
     }
 
     /// <inheritdoc />
-    public Task<FileContent> DecodeAsync(string filename, CancellationToken cancellationToken = default)
+    public async Task<FileContent> DecodeAsync(string filename, CancellationToken cancellationToken = default)
     {
         using var stream = File.OpenRead(filename);
-        return this.DecodeAsync(stream, cancellationToken);
+        return await this.DecodeAsync(stream, cancellationToken).ConfigureAwait(false);
     }
 
     /// <inheritdoc />