File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 128, in
main()
File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 123, in main
st.session_state.conversation = get_conversation_chain(
File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 67, in get_conversation_chain
conversation_chain = ConversationalRetrievalChain.from_llm(
File "d:\llm projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\llm\lib\site-packages\langchain\chains\conversational_retrieval\base.py", line 212, in from_llm
return cls(
File "pydantic\main.py", line 341, in pydantic.main.BaseModel.init
pydantic.error_wrappers.ValidationError: 1 validation error for ConversationalRetrievalChain
retriever
instance of BaseRetriever expected (type=type_error.arbitrary_type; expected_arbitrary_type=BaseRetriever)
Checked other resources
Example Code
def get_vectorstore(text_chunks): embeddings = OpenAIEmbeddings()
def get_conversation_chain(vectorstore):
if name == 'main': main()
Error Message and Stack Trace (if applicable)
No response
Description
File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 128, in
main()
File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 123, in main
st.session_state.conversation = get_conversation_chain(
File "D:\LLM projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\app.py", line 67, in get_conversation_chain
conversation_chain = ConversationalRetrievalChain.from_llm(
File "d:\llm projects\ask-multiple-pdfs-main\ask-multiple-pdfs-main\llm\lib\site-packages\langchain\chains\conversational_retrieval\base.py", line 212, in from_llm
return cls(
File "pydantic\main.py", line 341, in pydantic.main.BaseModel.init
pydantic.error_wrappers.ValidationError: 1 validation error for ConversationalRetrievalChain
retriever
instance of BaseRetriever expected (type=type_error.arbitrary_type; expected_arbitrary_type=BaseRetriever)
System Info
NA