The Rise of Vector Databases: Understanding Vector Search and RAG Pipeline

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 step-by-step guide on how to perform vector searches using Qdrant database and how RAG can be used to improve the accuracy of language models.