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Q&A em tempo real

  • DocChat-Docling is an AI-powered document chat agent that provides interactive Q&A over uploaded documents via semantic search.
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    What is DocChat-Docling?
    DocChat-Docling is an AI document chatbot framework that transforms static documents into an interactive knowledge base. By ingesting PDFs, text files, and other formats, it indexes content with vector embeddings and enables natural language Q&A. Users can ask follow-up questions, and the agent retains context for accurate dialogue. Built on Python and leading LLM APIs, it offers scalable document processing, customizable pipelines, and easy integration, empowering teams to self-serve information without manual searches or complex queries.
    DocChat-Docling Core Features
    • Document ingestion and processing
    • Semantic search with vector embeddings
    • Interactive Q&A chat interface
    • Multi-format file support
    • Context-aware follow-up questioning
  • SnowChat is a web-based AI chat agent enabling interactive Q&A over uploaded documents using OpenAI embeddings.
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    What is SnowChat?
    SnowChat combines vector embeddings and conversational AI to let you query documents in real time. Upload PDFs, text, or markdown files; it converts content into searchable embeddings, maintains context in chat, and generates precise answers or summaries using OpenAI’s GPT models. SnowChat also allows you to adjust model settings, view source snippets for transparency, and export conversation logs for later review.
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