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How we Built an Open-Source RAG-based ChatGPT Web Appby@whatsai
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1,031 reads

How we Built an Open-Source RAG-based ChatGPT Web App

by Louis BouchardOctober 25th, 2023
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Imagine a personalized AI companion ready to answer your most pressing questions in real time. Forget the days of sifting through endless documentation or wading through ambiguous search results. Our new AI Tutor is here to usher in a new era of learning efficiency and precision, with up-to-date information.
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Imagine a personalized AI companion ready to answer your most pressing questions in real-time. Forget the days of sifting through endless documentation or wading through ambiguous search results. Our new AI Tutor is here to usher in a new era of learning efficiency and precision, with up-to-date information!



By sharing tons of educational content, I understand the challenges that learners like you (and me) face when delving into AI and coding. The moments when curiosity strikes, and questions arise can be both frustrating and time-consuming. Traditional methods, such as scouring forums, discords, StackOverflow, or relying on Google, often fall short, especially in the rapidly evolving field of AI. Even asking ChatGPT is far from optimal in our field with its usual knowledge cutoff.


Enter Retrieval Augmented Generation, or RAG, the innovative technology that powers our AI Tutor. Think of it as a magical compass in a sea of knowledge. Instead of aimlessly rowing through vast oceans of information, you'll be guided directly to the treasure troves of answers you seek. RAG transforms your learning journey into a navigable, accessible, and friendly experience.

But our AI Tutor is not just a repository of information. It's an intelligently curated knowledge base, drawing from diverse sources to provide not just accurate but up-to-the-minute insights into AI and coding. From our own courses to technical articles and even the HuggingFace Transformers library, our knowledge base is as extensive as it is deep.


How does it work, you ask? We've harnessed the power of RAG and developed a complex chain of prompts to ensure that your questions are answered with precision. By embedding your queries and knowledge into vectors, we ensure that you're directed to the most relevant sources, reducing the risks of misinformation and keeping you informed about the latest developments.


Our AI Tutor is a dynamic project, continuously evolving to meet your learning needs. But it's not just about us – we want your feedback! Try it out for yourself; it's entirely free. Share your thoughts, ask questions, and help us improve this powerful learning tool even further. The full video goes into the intricate details of how our AI Tutor works, its underlying technology, and the potential it holds for your AI and coding journey. Watch it now: