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Update SVS parameters #36

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Merged
merged 1 commit into from
Aug 6, 2025
Merged

Update SVS parameters #36

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4 changes: 2 additions & 2 deletions engine/clients/redis/search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ def init_client(cls, host, distance, connection_params: dict, search_params: dic
if cls.hybrid_policy != "ADHOC_BF":
cls.knn_conditions = "EF_RUNTIME $EF"
elif cls.algorithm == "SVS-VAMANA":
cls.knn_conditions = "WS_SEARCH $WS_SEARCH"
cls.knn_conditions = "SEARCH_WINDOW_SIZE $SEARCH_WINDOW_SIZE"
cls.data_type = "FLOAT32"
if "search_params" in cls.search_params:
cls.data_type = (
Expand Down Expand Up @@ -97,7 +97,7 @@ def search_one(cls, vector, meta_conditions, top) -> List[Tuple[int, float]]:
if cls.hybrid_policy != "ADHOC_BF":
params_dict["EF"] = cls.search_params["search_params"]["ef"]
if cls.algorithm == "SVS-VAMANA":
params_dict["WS_SEARCH"] = cls.search_params["search_params"]["WS_SEARCH"]
params_dict["SEARCH_WINDOW_SIZE"] = cls.search_params["search_params"]["SEARCH_WINDOW_SIZE"]
results = cls._ft.search(q, query_params=params_dict)

return [(int(result.id), float(result.vector_score)) for result in results.docs]
26 changes: 9 additions & 17 deletions experiments/configurations/dbpedia-calibration.json
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Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT16",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200
Expand All @@ -78,7 +77,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT16"
Expand All @@ -99,7 +98,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT32",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200
Expand All @@ -110,7 +108,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT32"
Expand All @@ -131,7 +129,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT16",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -143,7 +140,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT16"
Expand All @@ -164,7 +161,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT32",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -176,7 +172,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT32"
Expand All @@ -197,7 +193,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT32",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -209,7 +204,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT32"
Expand All @@ -230,7 +225,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT16",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -242,7 +236,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT16"
Expand All @@ -263,7 +257,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT16",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -275,7 +268,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT16"
Expand All @@ -296,7 +289,6 @@
"algorithm": "svs-vamana",
"data_type": "FLOAT32",
"svs-vamana_config": {
"NUM_THREADS": 16,
"DISTANCE_METRIC": "L2",
"GRAPH_MAX_DEGREE": 32,
"CONSTRUCTION_WINDOW_SIZE": 200,
Expand All @@ -308,7 +300,7 @@
"algorithm": "svs-vamana",
"parallel": 100,
"top": 100,
"calibration_param": "WS_SEARCH",
"calibration_param": "SEARCH_WINDOW_SIZE",
"calibration_precision": 0.95,
"search_params": {
"data_type": "FLOAT32"
Expand All @@ -321,4 +313,4 @@
"algorithm": "svs-vamana"
}
}
]
]