VectorDBBench/scripts/envector_pubmed_config.yml at 4884064e81fa0e82550d35a9643ba75f2407d71d · CryptoLabInc/VectorDBBench · GitHub

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envectorflat:
  uri: localhost:50050
  eval_mode: mm
  case_type: PerformanceCustomDataset
  db_label: PUBMED768D400K-FLAT
  custom_case_name: PUBMED768D400K
  custom_case_description: PUBMED768D400K benchmark (768D, 400K vectors)
  custom_dataset_name: PUBMED768D400K
  custom_dataset_dir:
  custom_dataset_size: 400335
  custom_dataset_dim: 768
  custom_dataset_file_count: 1
  custom_dataset_use_shuffled: false
  custom_dataset_with_gt: true
  k: 10
  drop_old: true
  load: true

envectorivfflat:
  uri: localhost:50050
  eval_mode: mm
  case_type: PerformanceCustomDataset
  db_label: PUBMED768D400K-IVF
  custom_case_name: PUBMED768D400K
  custom_case_description: PUBMED768D400K benchmark (768D, 400K vectors)
  custom_dataset_name: PUBMED768D400K
  custom_dataset_dir:
  custom_dataset_size: 400335
  custom_dataset_dim: 768
  custom_dataset_file_count: 1
  custom_dataset_use_shuffled: false
  custom_dataset_with_gt: true
  k: 10
  nlist: 32768
  nprobe: 6
  train_centroids: true
  is_vct: true
  centroids_path: centroids/embeddinggemma-300m/centroids.npy
  vct_path: centroids/embeddinggemma-300m/tree_info.pkl
  drop_old: true
  load: true