Add support for Text and Document inputs in RetrievalQAComponent

src/backend/langflow/components/chains/RetrievalQA.py

@@ -2,8 +2,9 @@ from typing import Callable, Optional, Union
 
 from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
 from langchain.chains.retrieval_qa.base import BaseRetrievalQA, RetrievalQA
+from langchain_core.documents import Document
 from langflow import CustomComponent
-from langflow.field_typing import BaseMemory, BaseRetriever
+from langflow.field_typing import BaseMemory, BaseRetriever, Text
 
 
 class RetrievalQAComponent(CustomComponent):
@@ -18,18 +19,20 @@ class RetrievalQAComponent(CustomComponent):
             "input_key": {"display_name": "Input Key", "advanced": True},
             "output_key": {"display_name": "Output Key", "advanced": True},
             "return_source_documents": {"display_name": "Return Source Documents"},
+            "inputs": {"display_name": "Input", "input_types": ["Text", "Document"]},
         }
 
     def build(
         self,
         combine_documents_chain: BaseCombineDocumentsChain,
         retriever: BaseRetriever,
+        inputs: str = "",
         memory: Optional[BaseMemory] = None,
         input_key: str = "query",
         output_key: str = "result",
         return_source_documents: bool = True,
-    ) -> Union[BaseRetrievalQA, Callable]:
-        return RetrievalQA(
+    ) -> Union[BaseRetrievalQA, Callable, Text]:
+        runnable = RetrievalQA(
             combine_documents_chain=combine_documents_chain,
             retriever=retriever,
             memory=memory,
@@ -37,3 +40,8 @@ class RetrievalQAComponent(CustomComponent):
             output_key=output_key,
             return_source_documents=return_source_documents,
         )
+        if isinstance(inputs, Document):
+            inputs = inputs.page_content
+
+        result = runnable.invoke({input_key: inputs})
+        return result.content if hasattr(result, "content") else result