$10,000 No-Code RAG System in MAKE.COM: Full Tutorial

Unlock the power of Retrieval-Augmented Generation (RAG) with this step-by-step tutorial on building a no-code RAG system in Make.com that could easily generate $10,000 in value. RAG is crucial for training large language models (LLMs) on much larger datasets, enabling more accurate and dynamic AI solutions.
In this video, I walk you through the complete process, from setup to implementation, using Vectara’s RAG tools. You’ll learn how to integrate a custom GPT with Vectara’s API for seamless data retrieval and generation.
Links from the video:
• Vectara (The RAG Tool): www.vectara.com/
• Custom GPT for Vectara HTTP Setup: chatgpt.com/g/...
Whether you’re an AI enthusiast or a business owner looking to scale AI implementations, this tutorial has everything you need to get started. Watch now and transform how you work with LLMs! 🚀
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[@joeymuller4842]

Well done and very helpful. This is the year of RAG!

[@petebrag]

This is great stuff. Keep it up, this rocks

[@LuisG-CSC]

Thank you! For the Informative video just what I was looking for I subscribed.

[@traiteursmarseillais9426]

Super!! Im honored to be one of your early subscribers and commenters on that great info. I’m gonna try that right now. Thanks you! Hope your channel will grow. Wanna launch my channel as well, any advice?

[@foreverindependant6916]

isn't it possible to build an Open AI assistant and just use the ChatGpt module ?