Hi , I am using pandasquery engine . Same code in same env is forming different queries in notebook vs python script execution . Notebook's query is correct but in production we have to use python script . Any pointers or help is appreciated pls .

Hi Guys , i have a use case where user uploads a excel with multiple sheet .. each sheet will have 1 table .. we will read different sheets in different data frame .. now i want to use pandas query engine but how will i route to different pandas query engines based on user query ? please guide

Hi everyone , I am benchmarking time it takes to chunk , embed documents and then insert into vector database .

Following code does everything in 1 shot. How can I split into different components ? . Please guide.

index = VectorStoreIndex.from_documents(
documents,
storage_context=storage_context,
)