The Most Value Packed RAG Guide on YouTube (Feat. Llama 3.1 405B!)

This is the 5th video in the AI Agents masterclass series! I'm taking that part out of the titles going forward just to keep them more concise. Artificial Intelligence is no doubt the future of not just software development but the whole world. And I'm on a mission to master it - focusing first on mastering AI Agents. In this video I give a super concise walkthrough of RAG - what it is, how it is useful, and how to build a local RAG implementation to chat with your text and PDF documents locally with Llama 3.1 405B! This isn't the absolute shortest RAG tutorial on YouTube, but it covers the most that I have seen within this amount of time - it's a very value packed 11 minutes! All code for this local RAG implementation can be found here: https://github.com/coleam00/ai-agents-masterclass/tree/main/5-rag-agent ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you are curious about using other types of LangChain document loaders to chat with other types of documents, check out: https://python.langchain.com/v0.2/docs/integrations/document_loaders/ If you are curious about using other Vector databases besides Chroma with LangChain, check out: https://python.langchain.com/v0.2/docs/integrations/vectorstores/ Take this documentation and run with it! LangChain gives you everything you need to create super robust and production ready RAG applications. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos twice a week - Sundays and Wednesdays at 7:00 PM CDT!