Adapts to SK Kernel Memory #226
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Add the LLamaSharp.KernelMemory project to the solution. This project includes classes for text embedding generation and text generation using the LLamaSharp library.
Added a project reference to LLama.KernelMemory in the LLama.Examples.csproj file. 🔧 Add KernelMemory class and update TestRunner Added a new class KernelMemory to the LLama.Examples.NewVersion namespace, which includes a Run method that demonstrates the usage of Semantic Kernel Memory. The class imports a sample PDF document and asks a question to the memory, displaying the answer and relevant sources. Updated the TestRunner class in the same namespace to include an option (choice 15) to run the KernelMemory example. 🔧 Fix typo in LLamaSharpTextEmbeddingGeneration class Fixed a typo in the LLamaSharpTextEmbeddingGeneration class where the LlamaSharpConfig variable was incorrectly named as LlamaSharpConfig. Added XML documentation for the LLamaSharpTextEmbeddingGeneration constructor, Dispose method, and GenerateEmbeddingsAsync method. Summary: - Added project reference to LLama.KernelMemory and LLama.SemanticKernel in LLama.Examples.csproj - Added KernelMemory class to demonstrate Semantic Kernel Memory usage - Updated TestRunner class to include option for running KernelMemory example - Fixed typo in LLamaSharpTextEmbeddingGeneration class - Added XML documentation for constructor, Dispose method, and GenerateEmbeddingsAsync method in LLamaSharpTextEmbeddingGeneration class
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Thank you for the contribution! The example enables the document search for |
There are still some adjustments needed for the current adaptation work. After it is completed, I will try to add an example. |
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LGTM, thank you for the contribution! |
Adapts to SK Kernel Memory (Semantic Memory)
closes #200