Fix notebook example

[qpleple]

The following calls were throwing an exception:

https://github.com/hwchase17/langchain/blob/575b717d108984676e25afd0910ccccfdaf9693d/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb?short_path=4b3386c#L192

https://github.com/hwchase17/langchain/blob/575b717d108984676e25afd0910ccccfdaf9693d/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb?short_path=4b3386c#L239

Exception:

---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
Cell In[14], line 1
----> 1 chain_sota = RetrievalQA.from_chain_type(llm=OpenAI(temperature=0), chain_type="stuff", retriever=vectorstore_sota, input_key="question")

File ~/github/langchain/venv/lib/python3.9/site-packages/langchain/chains/retrieval_qa/base.py:89, in BaseRetrievalQA.from_chain_type(cls, llm, chain_type, chain_type_kwargs, **kwargs)
     85 _chain_type_kwargs = chain_type_kwargs or {}
     86 combine_documents_chain = load_qa_chain(
     87     llm, chain_type=chain_type, **_chain_type_kwargs
     88 )
---> 89 return cls(combine_documents_chain=combine_documents_chain, **kwargs)

File ~/github/langchain/venv/lib/python3.9/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__()

ValidationError: 1 validation error for RetrievalQA
retriever
  instance of BaseRetriever expected (type=type_error.arbitrary_type; expected_arbitrary_type=BaseRetriever)

The vectorstores had to be converted to retrievers: vectorstore_sota.as_retriever() and vectorstore_pg.as_retriever().

The PR also:

• adds the file paul_graham_essay.txt referenced by this notebook
• adds to gitignore *.pkl and *.bin files that are generated by this notebook

Interestingly enough, the performance of the prediction greatly increased (new version of langchain or ne version of OpenAI models since the last run of the notebook): from 19/33 correct to 28/33 correct!