This invention describes a computer system that creates a searchable database from various documents. For each question and answer it finds, it records not just the answer, but also exactly where that answer came from in the original document. When someone asks a question, the system looks up the answer's location and retrieves it directly from the most up-to-date version of the original document.
Why it matters: Filed before the widespread adoption of powerful large language models, the task of automatically generating question-answer pairs from documents was significantly more challenging. Today, LLMs excel at this content generation and natural language understanding, making the initial indexing and dynamic retrieval described here much more feasible and efficient.
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