Audio Retrieval Based on Milvus

This post details the application of Milvus for audio retrieval. It explains how audio data is processed by extracting feature vectors using pre-trained deep learning models (PANNs) and then inserted into Milvus for vector similarity search. The system architecture is described, encompassing data insertion (generating embeddings, inserting into Milvus, correlating IDs with metadata in MySQL) and audio search (extracting query embeddings, searching Milvus, retrieving audio names from MySQL). It highlights Milvus's role in managing and querying these feature vectors for unstructured data retrieval.