dosubot[bot]
commented
8 months ago 🤖
Hello @tempdeltavalue! I'm Dosu, a friendly bot here to assist you with your LangChain queries, bugs, and even help you learn how to contribute! While we're waiting for a human maintainer, I'm here to provide you with some initial help. Let's tackle this issue together!
Based on the code you've provided and the error message you're encountering, it seems like the issue might be with the way you're invoking the RetrievalQA chain. The invoke method expects a dictionary as an argument, where the key is the input_key (which is "query" by default) and the value is the question you want to ask.
In your case, you're correctly passing a dictionary with a 'query' key, but the error message suggests that the RetrievalQA chain is expecting a SquadExample or a dictionary as an argument. This might be due to the way the RetrievalQA chain is implemented in LangChain.
Here's how you should be invoking the RetrievalQA chain:
question = "Who is Hamlet ?"
answer = chain.invoke({"query": question})
print(answer)If you're still encountering the same error, it might be helpful to check the implementation of the RetrievalQA chain in LangChain. Specifically, you might want to look at the _call and _acall methods in the BaseRetrievalQA class, which are the methods that are likely being called when you invoke the RetrievalQA chain.
Here is the relevant code:
def _call(
self,
inputs: Dict[str, Any],
run_manager: Optional[CallbackManagerForChainRun] = None,
) -> Dict[str, Any]:
...
async def _acall(
self,
inputs: Dict[str, Any],
run_manager: Optional[AsyncCallbackManagerForChainRun] = None,
) -> Dict[str, Any]:
...In these methods, inputs is a dictionary where the key is a string and the value can be of any type. The key is expected to be the input_key of the class, which is set to "query" by default. The value associated with this key is treated as the question for which the model retrieves relevant documents and generates an answer.
You can find these methods in the libs/langchain/langchain/chains/retrieval_qa/base.py file in the LangChain repository.
I hope this helps! If you have any other questions or if something is unclear, please let me know.
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tempdeltavalue
eyurtsev
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Anushagudipati
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Example Code
Description
I tried to implement simple RetrievalQA from with langchain_chain.faiss vector search but I've faced with such assert, argument needs to be of type (SquadExample, dict)
Here, there is an issue. answer = chain.invoke({"query": question})
Thank you in advance.
System Info
Windows 10, python 3.11, langchain 0.1.0
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