im trying to do a bot that answer questions from a chromadb , i have stored multiple pdf files with metadata like the filename and candidate name , my problem is when i use conversational retrieval chain the LLM model just receive page_content without the metadata , i want the LLM model to be aware of the page_content with its metadata like filename and candidate namehere is my code
conversation_chain=ConversationalRetrievalChain.from_llm( llm=llm, retriever=SelfQueryRetriever.from_llm(llm,vectorstore,document_content_description,metadata_field_info), memory=memory, verbose=True, )
and here is my attribute info
metadata_field_info = [ AttributeInfo( name="filename", description="The name of the resumee", type="string", ), AttributeInfo( name="candidatename", description="the name of the candidate", type="string" )]