yuanzhoulvpi2017/questionAnswerSystem
基于sentence-transformers实现文本转向量的机器人
This project helps you build a custom question-and-answer system for your specific knowledge domain. You input a collection of questions, their answers, and similar phrasings users might use. The system then takes a user's natural language query and returns the most relevant answer from your collection. This is ideal for anyone needing to create a dedicated Q&A bot for a particular subject or set of documents.
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Use this if you need to build a simple, internal question-answering system without relying on external databases for knowledge storage.
Not ideal if your application requires high concurrency, advanced search algorithms for very large datasets, or robust database features.
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47
Forks
7
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 22, 2022
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