A ReAct-style LLM agent converts natural-language questions into query plans over DataFrame operators, using a three-level column-cluster-table vector index to handle tables with over 8,000 columns.
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Text to Query Plans for Question Answering on Large Tables
A ReAct-style LLM agent converts natural-language questions into query plans over DataFrame operators, using a three-level column-cluster-table vector index to handle tables with over 8,000 columns.