One of the most intriguing debates regarding a novel task is the development of search engines and recommendation-based systems in the music industry. Studies have shown a drastic depression in the search engine fields, due to concerning factors such as speed, accuracy and the format of data given for querying. Often people face difficulty in searching for a song solely based on the title, hence a solution is proposed to complete a search analysis through a single query input and is matched with the lyrics of the songs present in the database. Hence it is essential to incorporate cutting-edge technology tools for developing a user-friendly search engine. Jina AI is an MLOps framework for building neural search engines that are utilized, in order for the user to obtain accurate results. Jina AI effectively helps to maintain and enhance the quality of performance for the search engine for the query given. An effective search engine and a recommendation system for the music industry, built with JinaAI.

翻译：关于新型任务最引人入胜的辩论之一，是音乐产业中搜索引擎与基于推荐系统的开发。研究表明，由于速度、准确性及查询数据格式等关键因素的制约，搜索引擎领域已出现显著衰退。用户常因仅凭歌曲标题进行搜索而面临困难，因此提出一种解决方案：通过单次查询输入完成搜索分析，并与数据库中存储的歌词进行匹配。鉴于此，采用尖端技术工具构建用户友好的搜索引擎至关重要。Jina AI是一个用于构建神经搜索引擎的MLOps框架，可帮助用户获得精确结果。Jina AI能有效维持并提升搜索引擎针对给定查询的性能质量。本文提出一个基于JinaAI构建的高效音乐产业搜索引擎与推荐系统。