Document-Focused Chatbot
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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.
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- 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):
- See: Chatbot, Text Summarization System, Information Extraction System,.
References
= 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.