Factoid Finder Tool

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Problem: Efficiently extracting and navigating information from machine-readable PDFs. Traditional keyword-based search methods often fall short in identifying contextually relevant content, making it difficult for users to locate specific information within large document libraries. Objective for AI: The Factoid Finder addresses this issue by extracting text from PDFs to build searchable content libraries. It leverages Small Language Models to implement semantic search techniques, enabling users to retrieve contextually relevant passages from within...