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+ }, + "credentials_profile_name": {"display_name": "Credentials Profile Name"}, + "streaming": { + "display_name": "Streaming", + "field_type": "bool" + }, + "code": {"show": False}, + } + + def build( + self, + model_id: str = "anthropic.claude-instant-v1", + credentials_profile_name: Optional[str] = None, + ) -> BaseLLM: + try: + output = Bedrock( + credentials_profile_name=credentials_profile_name, + model_id=model_id, + ) # type: ignore + except Exception as e: + raise ValueError("Could not connect to AmazonBedrock API.") from e + return output diff --git a/src/backend/langflow/components/retrievers/AmazonKendra.py b/src/backend/langflow/components/retrievers/AmazonKendra.py new file mode 100644 index 000000000..2e1f31f55 --- /dev/null +++ b/src/backend/langflow/components/retrievers/AmazonKendra.py @@ -0,0 +1,47 @@ +from typing import Optional +from langflow import CustomComponent +from langchain.retrievers import AmazonKendraRetriever +from langchain.schema import BaseRetriever + + +class AmazonKendraRetrieverComponent(CustomComponent): + display_name: str = "Amazon Kendra Retriever" + description: str = "Retriever that uses the Amazon Kendra API." + + def build_config(self): + return { + "index_id": {"display_name": "Index ID"}, + "region_name": {"display_name": "Region Name"}, + "credentials_profile_name": {"display_name": "Credentials Profile Name"}, + "attribute_filter": { + "display_name": "Attribute Filter", + "field_type": "code", + }, + "top_k": {"display_name": "Top K", "field_type": "int"}, + "user_context": { + "display_name": "User Context", + "field_type": "code", + }, + "code": {"show": False}, + } + + def build( + self, + index_id: str, + top_k: int = 3, + region_name: Optional[str] = None, + credentials_profile_name: Optional[str] = None, + attribute_filter: Optional[dict] = None, + user_context: Optional[dict] = None, + ) -> BaseRetriever: + try: + output = AmazonKendraRetriever( + index_id=index_id, + top_k=top_k, + region_name=region_name, + credentials_profile_name=credentials_profile_name, + attribute_filter=attribute_filter, + user_context=user_context) # type: ignore + except Exception as e: + raise ValueError("Could not connect to AmazonKendra API.") from e + return output