Building an Intelligent QA System with NLP and Milvus

The Milvus Project is an open-source vector search engine designed to build question answering (QA) systems. It uses Google's BERT model and the Milvus vector search engine to create a Q&A bot based on semantic understanding. The system architecture includes data preparation, generating feature vectors using BERT, importing them into Milvus and PostgreSQL, and retrieving answers. This article provides step-by-step instructions for building an online Q&A system in the insurance industry. With high performance and scalability, Milvus can support a corpus of up to hundreds of millions of texts.