Explore a comprehensive comparison of top retrieval models for Retrieval Augmented Generation (RAG) in this 17-minute video. Dive into the performance of OpenAI's text-embedding-ada-002, Cohere's new Embed v3, and the open-source e5-base-v2 model. Examine MTEB leaderboards, inference speeds, and query results across different models. Analyze the strengths and weaknesses of each option, with a particular focus on the differences between Ada 002 and Cohere v3. Gain valuable insights into selecting the most suitable embedding model for your RAG applications through practical tests and expert analysis.