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Paper-qa is a retrieval augmented generation system designed for question answering and analysis of scientific literature and technical documents. It functions as an LLM-powered research assistant that extracts grounded answers and summaries with citations from a document library. The system utilizes an agentic RAG orchestrator to iteratively refine search queries and gather evidence through multi-step tool calling. It features a multimodal document parser that extracts text, tables, and images from PDFs, alongside a vector-based indexer that embeds and caches document libraries for efficient

JavSP is a media library organizer and video metadata scraper designed to sort and categorize video files. It extracts identifiers from filenames to aggregate media information from online sources and generates standardized NFO metadata files compatible with media servers. The utility features automated cover art processing that fetches high-definition images and crops non-standard posters into consistent dimensions. It also includes a multilingual metadata translator to convert video titles and summaries into different target languages. The system provides capabilities for media library org