Vector Databases in RAG Applications: Bridging Human Language and Machine Understanding
This article explores the crucial role of vector databases in Retrieval Augmented Generation (RAG) applications, analyzing how they bridge the gap between human language and machine understanding through semantic vector representations, providing a comprehensive guide from basic concepts to practical implementation.