Document-Focused Chatbot

A Document-Focused Chatbot is a chatbot system that is a document-focused application (which supports document processing tasks).

• Context:
  • It can (typically) be designed to interact with users and assist with tasks related to document processing.
  • It can (typically) be integrated into document-oriented platforms or applications to enhance user experience and productivity.
  • It can range from being a Web-based Document-Focused Chatbot, to being a Mobile-based Document-Focused Chatbot, to being a Desktop App-based Document-Focused Chatbot.
  • …
• Example(s):
  • an MS Word Copilot, which assists users with queries regarding MS Word functionalities.
  • an AI-based Legal Document Analysis Chatbot that understands and processes legal documents.
  • ChatPDF that can extract and summarize information from uploaded PDFs.
  • …
• Counter-Example(s):
  • A General-Purpose Chatbot.
  • A Speech Recognition Chatbot.
  • …
• See: Chatbot, Text Summarization System, Information Extraction System,.

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= References

2023

• Bing chat
  • A "Document-Focused Chatbot" is a chatbot that can answer questions or generate responses based on the content of one or more documents. ...
  • Some examples of "Document-Focused Chatbot" are:
    • Documind: A chatbot that uses ChatGPT to interact with any document and provide summaries, insights, or answers.
    • Retrieval-Augmented Generation Chatbot: A chatbot that uses LangChain and Panel to access and leverage external knowledge bases and generate responses with RAG.
    • Document-based LLM-powered Chatbot: A chatbot that uses Llama-Index and GPT API to analyze and understand the context of a conversation and retrieve relevant information from large databases or documents.
    • Document Q&A Chatbot: A chatbot that uses Llama-Index and GPT API to build a Q&A chatbot based on your own data and documents.
    • Multi-document Reader and Chatbot: A chatbot that uses LangChain and ChatGPT to interact with multiple different documents and document types and maintain a record of the chat history.

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