@llama_index
Extract data from table rows with precision using LlamaExtract's Table Row mode π LlamaExtract now offers granular extraction capabilities that go beyond document-level processing, giving you powerful control over how your schema is applied: π― Table row extraction applies your schema to each entity in ordered lists, table rows, and bulleted content - returning an array of JSON objects for structured data Perfect for processing invoices, financial reports, inventory lists, and any document where you need to extract repeated structured information at the row level. Learn about all configuration options: https://t.co/LUGQPDww6c And look out for an in-depth blog on how to use table row extraction in complex use-cases coming out next week π₯