vdf_prefix-cache / VDF_META.json
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{
"version": "0.1.221",
"file_structure": [
"vdf_20240329_171737_4a7ce/VDF_META.json"
],
"author": "dhruvanand",
"exported_from": "qdrant",
"indexes": {
"prefix-cache": [
{
"namespace": "",
"index_name": "prefix-cache",
"total_vector_count": 163075,
"exported_vector_count": 163075,
"dimensions": 384,
"model_name": "text-embedding-ada-002",
"vector_columns": [
"vector"
],
"data_path": "prefix-cache",
"metric": "Cosine",
"index_config": {
"params": {
"vectors": {
"size": 384,
"distance": "Cosine",
"hnsw_config": null,
"quantization_config": null,
"on_disk": true
},
"shard_number": 1,
"sharding_method": null,
"replication_factor": 1,
"write_consistency_factor": 1,
"read_fan_out_factor": null,
"on_disk_payload": true,
"sparse_vectors": null
},
"hnsw_config": {
"m": 16,
"ef_construct": 100,
"full_scan_threshold": 10000,
"max_indexing_threads": 0,
"on_disk": false,
"payload_m": null
},
"optimizer_config": {
"deleted_threshold": 0.2,
"vacuum_min_vector_number": 1000,
"default_segment_number": 0,
"max_segment_size": null,
"memmap_threshold": null,
"indexing_threshold": 0,
"flush_interval_sec": 5,
"max_optimization_threads": 1
},
"wal_config": {
"wal_capacity_mb": 32,
"wal_segments_ahead": 0
},
"quantization_config": null
}
}
]
},
"exported_at": "2024-03-29T17:19:18.364809+05:30",
"id_column": null
}