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@@ -14,14 +14,38 @@ class BedrockRetrieveTool(BuiltinTool):
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topk: int = None
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def _bedrock_retrieve(
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- self, query_input: str, knowledge_base_id: str, num_results: int, metadata_filter: Optional[dict] = None
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+ self,
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+ query_input: str,
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+ knowledge_base_id: str,
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+ num_results: int,
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+ search_type: str,
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+ rerank_model_id: str,
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+ metadata_filter: Optional[dict] = None,
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):
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try:
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retrieval_query = {"text": query_input}
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- retrieval_configuration = {"vectorSearchConfiguration": {"numberOfResults": num_results}}
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+ if search_type not in ["HYBRID", "SEMANTIC"]:
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+ raise RuntimeException("search_type should be HYBRID or SEMANTIC")
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+
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+ retrieval_configuration = {
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+ "vectorSearchConfiguration": {"numberOfResults": num_results, "overrideSearchType": search_type}
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+ }
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+
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+ if rerank_model_id != "default":
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+ model_for_rerank_arn = f"arn:aws:bedrock:us-west-2::foundation-model/{rerank_model_id}"
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+ rerankingConfiguration = {
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+ "bedrockRerankingConfiguration": {
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+ "numberOfRerankedResults": num_results,
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+ "modelConfiguration": {"modelArn": model_for_rerank_arn},
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+ },
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+ "type": "BEDROCK_RERANKING_MODEL",
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+ }
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- # Add metadata filter to retrieval configuration if present
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+ retrieval_configuration["vectorSearchConfiguration"]["rerankingConfiguration"] = rerankingConfiguration
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+ retrieval_configuration["vectorSearchConfiguration"]["numberOfResults"] = num_results * 5
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+
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+ # 如果有元数据过滤条件,则添加到检索配置中
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if metadata_filter:
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retrieval_configuration["vectorSearchConfiguration"]["filter"] = metadata_filter
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@@ -77,15 +101,20 @@ class BedrockRetrieveTool(BuiltinTool):
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if not query:
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return self.create_text_message("Please input query")
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- # Get metadata filter conditions (if they exist)
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+ # 获取元数据过滤条件(如果存在)
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metadata_filter_str = tool_parameters.get("metadata_filter")
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metadata_filter = json.loads(metadata_filter_str) if metadata_filter_str else None
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+ search_type = tool_parameters.get("search_type")
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+ rerank_model_id = tool_parameters.get("rerank_model_id")
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+
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line = 4
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retrieved_docs = self._bedrock_retrieve(
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query_input=query,
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knowledge_base_id=self.knowledge_base_id,
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num_results=self.topk,
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+ search_type=search_type,
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+ rerank_model_id=rerank_model_id,
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metadata_filter=metadata_filter,
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)
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@@ -109,7 +138,7 @@ class BedrockRetrieveTool(BuiltinTool):
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if not parameters.get("query"):
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raise ValueError("query is required")
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- # Optional: Validate if metadata filter is a valid JSON string (if provided)
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+ # 可选:可以验证元数据过滤条件是否为有效的 JSON 字符串(如果提供)
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metadata_filter_str = parameters.get("metadata_filter")
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if metadata_filter_str and not isinstance(json.loads(metadata_filter_str), dict):
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raise ValueError("metadata_filter must be a valid JSON object")
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