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VectorDB 101
What is a Vector Database and How Does It Work?
A vector database stores, indexes, and searches vector embeddings generated by machine learning models for fast information retrieval and similarity search. This post explains how vector databases work, their key features and use cases, and the ecosystem.
Mar 01, 202413 min read
VectorDB 101
Introduction to Vector Similarity Search
Learn what vector search is and the metrics pertinent to decide the distance (or similarity) between objects.
Nov 03, 202313 min read
Engineering
Build AI Apps with Retrieval Augmented Generation (RAG)
A comprehensive guide to Retrieval Augmented Generation (RAG), including its definition, workflow, benefits, use cases, and challenges.
Jan 08, 202414 min read
AI Models for Your GenAI Apps
Building GenAI applications with the right models that suit your business and Zilliz Cloud vector database.