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swharden
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This PR adds an example that demonstrates how to use Microsoft.KernelMemory with local storage so documents can be analyzed once, saved to disk (as a plain-text vector database), then rapidly reloaded on future runs of the program.

Note that Microsoft.KernelMemory (https://microsoft.github.io/kernel-memory/) is a higher-level more feature-rich wrapper for Microsoft.SemanticKernel.Memory that was "built on the feedback received and lessons learned from developing Semantic Kernel", so it should probably be the favored strategy for document ingestion and interaction in the future.

@martindevans martindevans merged commit 91ca9d2 into SciSharp:master Feb 23, 2024
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Excellent work, thanks again!

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