Comments (6)
Oh I might misunderstand the thread here. I thought you're asking for swapping Azure search to another VectorDB solution. NVM
from azure-search-openai-demo-csharp.
Is that mainly for retrieving relative corpus? If so maybe we can first try the memory component from the semantic-kernel and see how it goes? The memory in semantic kernel also provides the function of retrieving relative corpus and we just need to provide embedding
from azure-search-openai-demo-csharp.
This assumes everything's in-memory though right? It's not backed by any database.
from azure-search-openai-demo-csharp.
True if we just use the built-in memory from semantic-kernel. But if we implement our own IMemoryStore
` we can back it up using whatever DB we'd like
from azure-search-openai-demo-csharp.
Nope.This is still using Azure Search, just switching from the current keyword based search to the vector search option.
from azure-search-openai-demo-csharp.
Solved by #86. In feature branch https://github.com/Azure-Samples/azure-search-openai-demo-csharp/tree/feature/embeddingSearch
from azure-search-openai-demo-csharp.
Related Issues (20)
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