RAG Strategies - Which One is BEST For Your Use Case

Description

Retrieval Augmented Generation is THE way to give your AI agents the ability to search and leverage your documents and knowledge. But there are a million strategies for RAG out there - how do you know what is ideal for your use case? What even are all of the RAG strategies I can pick from? Should I combine some together? I've got you covered with all of these questions in this video. Beware this is very informationally dense, but it'll get you started thinking about what strategies to apply to your use cases. Also let me know in the comments which RAG strategies you want me to cover more on my channel! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous: https://dynamous.ai/agentic-coding-co... Neon is the Postgres platform I used to showcase real RAG data: check it out here: https://get.neon.com/jR4SxEE Here is the repo that outlines all the RAG strategies with examples: https://github.com/coleam00/ottomator...