Retrieve and gain: 3 RAG use cases you can ship today

What this post added

This post details three practical RAG use cases: 'Retrieval' for commercial search (e.g., e-commerce, B2B marketplaces), 'Answers' for internal Q&A (combining retrieval with generation for concise, sourced answers), and 'Growth' for scaling RAG infrastructure. It emphasizes Meilisearch's unified hybrid search approach for simplifying scaling, data management, and relevance tuning in RAG applications, contrasting it with complex multi-service architectures. Specific examples from Bookshop.org, Minipouce, Qogita, HitPay, Louis Vuitton, Symfony, OCTO Technology, CarbonGraph, Hugging Face, TutKit, and Bildhistoria are provided to illustrate these patterns.