LLamaSharp.Examples: Document Q&A with local storage #532
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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 forMicrosoft.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.