Data augmentation with LlamaIndex (Practical AI #224)
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How to Use One Index to Solve Query Schemes
The possibilities of the query schemes is pretty darn cool. You can do like compare contrast type queries where you can actually look at different documents within your collection and then say, Hey, this event actually happened after this event. And so a lot of what one index does provide is a set of tools that indices the data and dressers query interface to solve any of these queries that you might want to answer. But as someone who hasn't used the tool myself, I'm trying to get a sense of what that workflow is like.
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