After saving vecotr, Can not searchVector by Microsoft.SemanticKernel.Connectors.Weaviate.

[liujiyuan]

When I run the code belowed:
`// Placeholder embedding generation method.
async Task<ReadOnlyMemory> GenerateEmbeddingAsync(string textToVectorize)
{
// your logic here
}

// Generate a vector for your search text, using your chosen embedding generation implementation.
ReadOnlyMemory searchVector = await GenerateEmbeddingAsync("I'm looking for a hotel where customer happiness is the priority.");

// Do the search.
var searchResult = await collection.VectorizedSearchAsync(searchVector, new() { Top = 1 });

// Inspect the returned hotel.
await foreach (var record in searchResult.Results)
{
Console.WriteLine("Found hotel description: " + record.Record.Description);
Console.WriteLine("Found record score: " + record.Score);
}`

I get a error:
`Microsoft.Extensions.VectorData.VectorStoreOperationException : Error occurred during vector search. Response: {"errors":[{"locations":[{"column":5,"line":3}],"message":"Cannot query field "skhotels" on type "GetObjectsObj". Did you mean "Skhotels"?","path":null}]}

at Microsoft.SemanticKernel.Connectors.Weaviate.WeaviateVectorStoreRecordCollection1.VectorizedSearchAsync[TVector](TVector vector, VectorSearchOptions options, CancellationToken cancellationToken) ...... --- End of stack trace from previous location ---

[liujiyuan]

@markwallace-microsoft Could you help me?

[liujiyuan]

Is there a complete Weaviate example? Similar code works fine with Qdrant. There are issues with both Weaviate and Milvus. It's very simple to use with Python. Since there are already fewer developers using C#, this is incredibly frustrating; I've been struggling with this for several days now, and it should have been a simple task. Recently started an AI course, and the instructor initially used the semantic kernel framework too but gave up eventually. Does Microsoft care or not? If this continues, there will be fewer and fewer C# programmers.