Rohil Bansal commited on
Commit
df844ea
·
1 Parent(s): 65e3bf6

changed recursion limit and search kw

Browse files
app.py CHANGED
@@ -48,7 +48,7 @@ if "messages" not in st.session_state:
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  if "thread_id" not in st.session_state:
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  st.session_state.thread_id = "streamlit_thread"
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- config = {"recursion_limit": 15, "configurable": {"thread_id": st.session_state.thread_id}}
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  # Display chat messages from history on app rerun
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  for message in st.session_state.messages:
 
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  if "thread_id" not in st.session_state:
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  st.session_state.thread_id = "streamlit_thread"
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+ config = {"recursion_limit": 8, "configurable": {"thread_id": st.session_state.thread_id}}
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  # Display chat messages from history on app rerun
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  for message in st.session_state.messages:
src/__pycache__/buildgraph.cpython-312.pyc CHANGED
Binary files a/src/__pycache__/buildgraph.cpython-312.pyc and b/src/__pycache__/buildgraph.cpython-312.pyc differ
 
src/__pycache__/index.cpython-312.pyc CHANGED
Binary files a/src/__pycache__/index.cpython-312.pyc and b/src/__pycache__/index.cpython-312.pyc differ
 
src/buildgraph.py CHANGED
@@ -193,7 +193,7 @@ def run_workflow(user_input, config):
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  return {"generation": "I encountered an error while processing your question. Please try again."}
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  if __name__ == "__main__":
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- config = {"configurable": {"thread_id": "test_thread"}}
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  while True:
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  question = input("Enter your question (or 'quit' to exit): ")
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  if question.lower() == 'quit':
 
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  return {"generation": "I encountered an error while processing your question. Please try again."}
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  if __name__ == "__main__":
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+ config = {"configurable": {"thread_id": "1"}}
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  while True:
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  question = input("Enter your question (or 'quit' to exit): ")
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  if question.lower() == 'quit':
src/index.py CHANGED
@@ -125,7 +125,7 @@ try:
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  print("Creating LangChain vectorstore...")
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  vectorstore = LangchainPinecone(pinecone_index, embd.embed_query, "text")
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- retriever = vectorstore.as_retriever(search_kwargs={"k": 10})
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  print("Retriever set up successfully.")
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  except Exception as e:
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  print(f"Error with Pinecone operations: {e}")
 
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  print("Creating LangChain vectorstore...")
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  vectorstore = LangchainPinecone(pinecone_index, embd.embed_query, "text")
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+ retriever = vectorstore.as_retriever(search_kwargs={"k": 3})
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  print("Retriever set up successfully.")
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  except Exception as e:
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  print(f"Error with Pinecone operations: {e}")