zilliz-bootcamp/intelligent_question_answering_robot
This project combines the model provided by Bert and Milvus to realize a question and answer (QA) system.
This project helps you create an intelligent question-answering system for your specific knowledge base. You provide a dataset of questions and their corresponding answers, and the system processes them to create a searchable database. When a user asks a question, the system finds the most semantically similar question in your dataset and returns its pre-defined answer. This is ideal for customer support, internal knowledge bases, or educational tools.
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Use this if you need to build a system that can automatically answer user questions based on a predefined set of question-answer pairs, especially for large datasets where exact keyword matching isn't sufficient.
Not ideal if you need a system that can generate new answers dynamically or understand complex conversational nuances beyond semantic similarity to existing questions.
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Aug 10, 2021
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