fix:hard-coded top-k fallback issue. (#24879)
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@@ -18,7 +18,7 @@ default_retrieval_model = {
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"search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
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"reranking_enable": False,
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"reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
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"top_k": 2,
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"top_k": 4,
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"score_threshold_enabled": False,
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}
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@@ -66,7 +66,7 @@ class HitTestingService:
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retrieval_method=retrieval_model.get("search_method", "semantic_search"),
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dataset_id=dataset.id,
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query=query,
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top_k=retrieval_model.get("top_k", 2),
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top_k=retrieval_model.get("top_k", 4),
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score_threshold=retrieval_model.get("score_threshold", 0.0)
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if retrieval_model["score_threshold_enabled"]
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else 0.0,
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