Vector Databases 101
原文英文，约1400词，阅读约需6分钟。发表于：。Storing and accessing data efficiently is a looming concern. Vector databases have emerged as a crucial technology in the field of data management and artificial intelligence applications, playing a significant role in modern computing. Unlike a traditional relational database, a vector database is designed to efficiently handle and retrieve vector embeddings of complex data types […] The post Vector Databases 101 appeared first on Redis.
向量数据库是用于存储和检索向量嵌入的数据库，适用于高级搜索和人工智能驱动的数据分析。它通过向量化过程将高维非结构化数据转换为低维数值形式，并使用嵌入计算向量之间的相似度。向量数据库在推荐系统、图像和视频检索、自然语言处理、欺诈检测和安全、生物特征识别等领域有广泛应用。随着生成式人工智能的发展，向量数据库将成为管理、搜索和利用复杂高维数据的关键组成部分，推动人工智能和数据技术的突破。
