README, Cleanup

LLama.Examples/NewVersion/SemanticKernelChat.cs

@@ -27,9 +27,6 @@ namespace LLama.Examples.NewVersion
             using var model = LLamaWeights.LoadFromFile(parameters);
             using var context = model.CreateContext(parameters);
             var ex = new InteractiveExecutor(context);
-            //var builder = new KernelBuilder();
-            //builder.WithAIService<IChatCompletion>("local-llama", new LLamaSharpChatCompletion(ex), true);
-            //var kernel = builder.Build();
 
             var chatGPT = new LLamaSharpChatCompletion(ex);
 

LLama.SemanticKernel/README.md

@@ -0,0 +1,26 @@
+# LLamaSharp.SemanticKernel
+
+LLamaSharp.SemanticKernel are connections for [SemanticKernel](https://github.com/microsoft/semantic-kernel): an SDK for intergrating various LLM interfaces into a single implementation. With this, you can add local LLaMa queries as another connection point with your existing connections.
+
+For reference on how to implement it, view the following examples: 
+
+- [SemanticKernelChat](../LLama.Examples/NewVersion/SemanticKernelChat.cs)
+- [SemanticKernelPrompt](../LLama.Examples/NewVersion/SemanticKernelPrompt.cs)
+
+## ITextCompletion
+```csharp
+using var model = LLamaWeights.LoadFromFile(parameters);
+// LLamaSharpTextCompletion can accept ILLamaExecutor. 
+var ex = new StatelessExecutor(model, parameters);
+var builder = new KernelBuilder();
+builder.WithAIService<ITextCompletion>("local-llama", new LLamaSharpTextCompletion(ex), true);
+```
+
+## IChatCompletion
+```csharp
+using var model = LLamaWeights.LoadFromFile(parameters);
+using var context = model.CreateContext(parameters);
+// LLamaSharpChatCompletion requires InteractiveExecutor, as it's the best fit for the given command.
+var ex = new InteractiveExecutor(context);
+var chatGPT = new LLamaSharpChatCompletion(ex);
+```