AIHacker Noonabout 7 hours ago
Why Financial RAG Needs More Than Better Embeddings
25 min read
Financial RAG pipelines flatten structured data into plain text, losing table context. FinanceBench testing showed GPT-4-Turbo answered 81% of questions wrong or refused in shared-store settings. Using EDGAR HTML with XBRL tagging and layout-aware parsers like LlamaParse preserves structure better than PDF extraction.
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