warn: 10/10/2025 11:39:20.180 MongoEventId.VectorSearchReturnedZeroResults[35014] (Microsoft.EntityFrameworkCore.Query) 
      The vector query 'embedded_movies.aggregate([{ "$vectorSearch" : { "queryVector" : [-0.069241605699062347, 0.036339566111564636, -0.030201124027371407, -0.042478002607822418, 0.01976577565073967, 0.025167603045701981, -0.019274700433015823, 0.031674351543188095, -0.00036063333391211927, -0.0070592057891190052, -0.0020870696753263474, -7.6730495493393391E-05, -0.0079185878857970238, 0.00020045842393301427, 0.014425333589315414, 0.016328250989317894, 0.012092726305127144, 

...

.006813668180257082, -0.028850667178630829, -0.0019259355030953884, -0.0097601190209388733, 0.0046038301661610603, -0.0028850666712969542, -0.01104919146746397, -0.0050642127171158791, 0.00044695514952763915, 0.0035449489951133728, -0.02971004880964756, 0.0099442722275853157, -0.0058622099459171295, -0.03584849089384079, -0.015468868426978588, 0.055000420659780502, 0.0052790581248700619, 0.018415320664644241], "path" : "plot_embedding_voyage_3_large", "limit" : 10, "numCandidates" : 100, "index" : "PlotEmbeddingVectorIndex" } }, { "$addFields" : { "__score" : { "$meta" : "vectorSearchScore" } } }])' returned zero results. This could be because either there is no vector index defined for query property, or because vector data (embeddings) have recently been inserted. Consider disabling index creation in 'DbContext.Database.EnsureCreated' and performing initial ingestion before calling 'DbContext.Database.CreateMissingVectorIndexes' and 'DbContext.Database.WaitForVectorIndexes'.
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