Consider a large language model (LLM) application that is designed to help financial analysts answer questions about the performance of a company. With a well-designed retrieval augmented generation (RAG) pipeline, analysts can answer questions like, ��What was X corporation��s total revenue for FY 2022?�� This information can be easily extracted from financial statements by a seasoned analyst.
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