This post explains the fundamentals of vectors and vector databases, as well as the implementation of vector searches and Retrieval-Augmented Generation (RAG) using Qdrant Vector Database. It covers the applications of vector databases in NLP, recommendation engines, and image/video searches. The post also provides a

7m read timeFrom pub.towardsai.net
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The Rise of Vector Databases: Understanding Vector Search and RAG PipelineWhat is a Vector?Vector DatabasesWhy are Vector Databases so popular?

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