Tag: RAG vector database

Retrieval-Augmented Generation (RAG) leverages external knowledge to enhance AI models’ ability to generate accurate and contextually relevant outputs. A pivotal component of this architecture is the vector database, which enables the efficient retrieval of information by organizing and indexing knowledge in high-dimensional vector space. Vector databases serve as the backbone of RAG by storing embeddings…