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interacción de datos en tiempo real

  • AgentReader uses LLMs to ingest and analyze documents, web pages, and chats, enabling interactive Q&A over your data.
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    What is AgentReader?
    AgentReader is a developer-friendly AI agent framework that enables you to load and index various data sources such as PDFs, text files, markdown documents, and web pages. It integrates seamlessly with major LLM providers to power interactive chat sessions and question-answering over your knowledge base. Features include real-time streaming of model responses, customizable retrieval pipelines, web scraping via headless browser, and a plugin architecture for extending ingestion and processing capabilities.
    AgentReader Core Features
    • Ingest PDFs, text, markdown, and URLs
    • Interactive Q&A chat interface
    • Streaming LLM responses
    • Web scraping with headless browser
    • Plugin architecture for custom extensions
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