dh;SSKJrJrJrJr SSKJr SSKJr SSK J r SSK J r SSK JrJr "SS\S S 9r"S S \S S 9r\"S SSS9"SS\ 55rg))AnyDictListOptional) deprecated)CallbackManagerForRetrieverRun)Document) BaseRetriever) BaseModelmodel_validatorc(\rSrSr%SrSr\\S'Srg)VectorSearchConfig z Configuration for vector search.numberOfResultsN) __name__ __module__ __qualname____firstlineno____doc__rint__annotations____static_attributes__r^/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/retrievers/bedrock.pyrr s*OSrrallow)extrac$\rSrSr%Sr\\S'Srg)RetrievalConfigzConfiguration for retrieval.vectorSearchConfigurationrN)rrrrrrrrrrrr r s &11rr z0.3.16z1.0z+langchain_aws.AmazonKnowledgeBasesRetriever)sinceremovalalternative_importc\rSrSr%Sr\\S'Sr\\\S'Sr \\\S'Sr \\\S'\ \S'\ \S '\ "S S 9\S \\\ 4S \ 4Sj55rS\S\S \\4SjrSrg)AmazonKnowledgeBasesRetrieveraAmazon Bedrock Knowledge Bases retriever. See https://aws.amazon.com/bedrock/knowledge-bases for more info. Setup: Install ``langchain-aws``: .. code-block:: bash pip install -U langchain-aws Key init args: knowledge_base_id: Knowledge Base ID. region_name: The aws region e.g., `us-west-2`. Fallback to AWS_DEFAULT_REGION env variable or region specified in ~/.aws/config. credentials_profile_name: The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. client: boto3 client for bedrock agent runtime. retrieval_config: Configuration for retrieval. Instantiate: .. code-block:: python from langchain_community.retrievers import AmazonKnowledgeBasesRetriever retriever = AmazonKnowledgeBasesRetriever( knowledge_base_id="", retrieval_config={ "vectorSearchConfiguration": { "numberOfResults": 4 } }, ) Usage: .. code-block:: python query = "..." retriever.invoke(query) Use within a chain: .. code-block:: python from langchain_aws import ChatBedrockConverse from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import RunnablePassthrough from langchain_openai import ChatOpenAI prompt = ChatPromptTemplate.from_template( """Answer the question based only on the context provided. Context: {context} Question: {question}""" ) llm = ChatBedrockConverse( model_id="anthropic.claude-3-5-sonnet-20240620-v1:0" ) def format_docs(docs): return "\n\n".join(doc.page_content for doc in docs) chain = ( {"context": retriever | format_docs, "question": RunnablePassthrough()} | prompt | llm | StrOutputParser() ) chain.invoke("...") knowledge_base_idN region_namecredentials_profile_name endpoint_urlclientretrieval_configbefore)modevaluesreturnc URS5bU$SSKnSSKJn SSKJn URS5(aUR USS9nOUR 5nSU"SSS S0S 90nURS 5(aUS US 'URS 5(aUS US 'UR"S0UD6US'U$![a [S 5eWan[S5UeSnAf[an[S5UeSnAff=f)Nr-r)Config)UnknownServiceErrorr+) profile_nameconfigx max_attempts)connect_timeout read_timeoutretriesr*r,zRCould not import boto3 python package. Please install it with `pip install boto3`.zjEnsure that you have installed the latest boto3 package that contains the API for `bedrock-runtime-agent`.zCould not load credentials to authenticate with AWS client. Please check that credentials in the specified profile name are valid.)zbedrock-agent-runtime) getboto3botocore.clientr4botocore.exceptionsr5Sessionr- ImportError Exception ValueError)clsr1r>r4r5session client_paramses r create_client+AmazonKnowledgeBasesRetriever.create_clientrs8 ::h  +M(   . ?zz455--V # E  *   s$B'B>>D C$$ D1 C==Dquery run_managercnURRSUR50URURR 5S9nUSn/nUHZnUSSnUR S5 SU;aSUS'SU;aUR S5US'UR[UUS 95 M\ U$) Ntext)retrievalQueryknowledgeBaseIdretrievalConfigurationretrievalResultscontentscorermetadatasource_metadata) page_contentrU) r-retrievestripr)r.dictpopappendr )selfrKrLresponseresults documentsresultrSs r_get_relevant_documents5AmazonKnowledgeBasesRetriever._get_relevant_documentss;;''"EKKM2 22#'#8#8#=#=#?(  -. FY'/G JJy !f$"#wV#,2JJz,B()   !(# rr)rrrrrstrrr*rr+r,rr r classmethodrrIrrr rbrrrrr'r's M^!%K#%.2hsm2"&L(3-& K%%(#,4S>,c,$,\*H hrr'N)typingrrrrlangchain_core._api.deprecationrlangchain_core.callbacksrlangchain_core.documentsr langchain_core.retrieversr pydanticr r rr r'rrrrlsb,,6C-3/' 2iw2   D _M_  _r