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數據集成解決方案

  • Convert website content into clean, structured text files with Website2GPT.
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    What is Website2GPT?
    Website2GPT allows users to transform their entire website content into clean, structured text files. This tool is designed to handle JavaScript-rendered content and provides intelligent content extraction with built-in rate limiting. Users can choose between individual files or a single merged format, making the output ready for GPT training or creating knowledge bases. The streamlined process ensures that the extracted data is clean and formatted for easy integration into various applications and models.
  • Airstrip offers mobile-first clinical surveillance and alarm communication management technology.
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    What is Airstrip AI?
    Airstrip provides a mobile-first solution for clinical surveillance and alarm communication management. The platform amalgamates fragmented clinical data and transforms it into actionable insights, allowing healthcare professionals to make informed, life-saving decisions in real-time. Airstrip's technology supports native mobile apps and web access, ensuring clinicians have critical data at their fingertips, regardless of their location. This vendor-agnostic solution connects various data sources and offers robust integration, making it a reliable tool in modern healthcare.
  • An autonomous AI agent that retrieves clinical documents, summarizes patient data, and provides decision support using LLMs.
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    What is Clinical Agent?
    Clinical Agent is designed to streamline clinical workflows by combining the power of retrieval-augmented generation and vector search. It ingests electronic medical record data, indexes documents using a vector database, and uses LLMs to answer clinical queries, generate discharge summaries, and create structured notes. Developers can customize prompts, integrate additional data sources, and extend modules. The framework supports modular pipelines for data ingestion, semantic search, question answering, and summarization, enabling hospitals and research teams to rapidly deploy AI-driven clinical assistants.
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