3 Simple Ways to Set Up a RAG Chatbot (Sell These for $$$)

Join Maker School & get your first automation customer ⤵️ https://www.skool.com/makerschool/about My podcast with Matt Larsen on how to run an 8-figure business (The Five) ⤵️ https://www.youtube.com/watch?v=LKOe8GLLEIo Summary ⤵️ I've had a ton of interest about RAG (Retrieval Augmented Generation) recently, so I thought I'd do a quick video explaining the nuts and bolts of RAG and how to use it to set up your own chatbot. My software, tools, & deals (some give me kickbacks—thank you!) 🚀 Instantly: https://link.nicksaraev.com/instantly-short 📧 Anymailfinder: https://link.nicksaraev.com/amf-short 🤖 Apify: https://console.apify.com/sign-up (30% off with code 30NICKSARAEV) 🧑🏽‍💻 n8n: https://n8n.partnerlinks.io/h372ujv8cw80 📈 Rize: https://link.nicksaraev.com/rize-short (25% off with promo code NICK) Follow me on other platforms 😈 📸 Instagram: https://www.instagram.com/nick_saraev 🕊️ Twitter/X: https://twitter.com/nicksaraev 🤙 Blog: https://nicksaraev.com Why watch? If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like. Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏 Like, subscribe, and leave me a comment if you have a specific request! Thanks. Chapters 00:00:00 Introduction 00:01:45 Dispelling Myths About Retrieval Augmented Generation (RAG) 00:03:30 The Three Methods for Setting Up a RAG Chatbot 00:04:42 Method One: Quick Setup Using OpenAI Assistant 00:08:15 Understanding the Importance of Chunk Size and Overlap 00:12:27 Exploring Vectorization and Its Role in RAG 00:16:05 Practical Demonstration with the Bitcoin White Paper 00:20:40 Issues with Context Windows and the Evolution of RAG 00:23:30 Method Two: Setting Up RAG in N8N and Pinecone 00:29:01 Creating and Utilizing a Vector Store 00:34:56 Integrating AI Agents and the Decision-Making Process 00:38:45 File Uploads and Document Management in Pinecone 00:43:15 Simulating Interactions with a Custom Chatbot 00:46:59 Method Three: Utilizing Third-Party Tools Like Botpress 00:50:55 Onboarding and Explaining Botpress' Functionality 00:56:30 Conclusion and Final Thoughts on RAG