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A Generative AI Engineer has successfully ingested unstructured documents and divided them into chunks based on document sections. They want to store these chunks in a Vector Search index. The current dataframe has two columns: (i) the original document file name and (ii) an array of text chunks for each document. What is the most efficient way to store this dataframe?