|  |  | @@ -233,6 +233,12 @@ class AnalyticdbVectorOpenAPI: | 
		
	
		
			
			|  |  |  | def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: | 
		
	
		
			
			|  |  |  | from alibabacloud_gpdb20160503 import models as gpdb_20160503_models | 
		
	
		
			
			|  |  |  | 
 | 
		
	
		
			
			|  |  |  | document_ids_filter = kwargs.get("document_ids_filter") | 
		
	
		
			
			|  |  |  | where_clause = "" | 
		
	
		
			
			|  |  |  | if document_ids_filter: | 
		
	
		
			
			|  |  |  | document_ids = ", ".join(f"'{id}'" for id in document_ids_filter) | 
		
	
		
			
			|  |  |  | where_clause += f"metadata_->>'document_id' IN ({document_ids})" | 
		
	
		
			
			|  |  |  | 
 | 
		
	
		
			
			|  |  |  | score_threshold = kwargs.get("score_threshold") or 0.0 | 
		
	
		
			
			|  |  |  | request = gpdb_20160503_models.QueryCollectionDataRequest( | 
		
	
		
			
			|  |  |  | dbinstance_id=self.config.instance_id, | 
		
	
	
		
			
			|  |  | @@ -245,7 +251,7 @@ class AnalyticdbVectorOpenAPI: | 
		
	
		
			
			|  |  |  | vector=query_vector, | 
		
	
		
			
			|  |  |  | content=None, | 
		
	
		
			
			|  |  |  | top_k=kwargs.get("top_k", 4), | 
		
	
		
			
			|  |  |  | filter=None, | 
		
	
		
			
			|  |  |  | filter=where_clause, | 
		
	
		
			
			|  |  |  | ) | 
		
	
		
			
			|  |  |  | response = self._client.query_collection_data(request) | 
		
	
		
			
			|  |  |  | documents = [] | 
		
	
	
		
			
			|  |  | @@ -265,6 +271,11 @@ class AnalyticdbVectorOpenAPI: | 
		
	
		
			
			|  |  |  | def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: | 
		
	
		
			
			|  |  |  | from alibabacloud_gpdb20160503 import models as gpdb_20160503_models | 
		
	
		
			
			|  |  |  | 
 | 
		
	
		
			
			|  |  |  | document_ids_filter = kwargs.get("document_ids_filter") | 
		
	
		
			
			|  |  |  | where_clause = "" | 
		
	
		
			
			|  |  |  | if document_ids_filter: | 
		
	
		
			
			|  |  |  | document_ids = ", ".join(f"'{id}'" for id in document_ids_filter) | 
		
	
		
			
			|  |  |  | where_clause += f"metadata_->>'document_id' IN ({document_ids})" | 
		
	
		
			
			|  |  |  | score_threshold = float(kwargs.get("score_threshold") or 0.0) | 
		
	
		
			
			|  |  |  | request = gpdb_20160503_models.QueryCollectionDataRequest( | 
		
	
		
			
			|  |  |  | dbinstance_id=self.config.instance_id, | 
		
	
	
		
			
			|  |  | @@ -277,7 +288,7 @@ class AnalyticdbVectorOpenAPI: | 
		
	
		
			
			|  |  |  | vector=None, | 
		
	
		
			
			|  |  |  | content=query, | 
		
	
		
			
			|  |  |  | top_k=kwargs.get("top_k", 4), | 
		
	
		
			
			|  |  |  | filter=None, | 
		
	
		
			
			|  |  |  | filter=where_clause, | 
		
	
		
			
			|  |  |  | ) | 
		
	
		
			
			|  |  |  | response = self._client.query_collection_data(request) | 
		
	
		
			
			|  |  |  | documents = [] |