Hi everyone!
I'm trying composability of indexes, based on https://gpt-index.readthedocs.io/en/latest/guides/use_cases.html#use-case-combining-information-across-multiple-indices

index1 = GPTSimpleVectorIndex(notion_docs) index2 = GPTSimpleVectorIndex(slack_docs) # Set summary text # you can set the summary manually, or you can # generate the summary itself using LlamaIndex index1.set_text("summary1") index2.set_text("summary2") index3 = GPTListIndex([index1, index2]) response = index3.query("<query_str>", mode="recursive", query_configs=...)

I understand that in the example, when I do index3.query, it uses the summary of each subindex to select which one to use.
But what I need is just search across both indexes, and get the best choice based on similarity, as if it is just one unique index.
Am I doing something wrong?