How We Cloned a YC AI (But Forgot the UI)🤩
(Step-by-step code walk through)
Very simple story today… we saw this post… and we decided to test run lego piecing something similar together in a quick and dirty way!
The Challenge: Rapid AI Prototyping
Our goal was to create a basic version of Remy's core features:
Searching YouTube for relevant videos
Fetching and processing video transcripts
Answering user questions about video content
We wanted to show that with the right tools and approach, even complex AI products can be prototyped quickly. This rapid development process is crucial for testing ideas and getting early user feedback before investing in a full-scale product.
Key Components of Our Prototype
YouTube Search
We used a hacky library to search YouTube without needing to set up complex API credentials (for quick prototyping🤓). This allowed us to quickly fetch video metadata based on user queries.
Transcript Fetching
The youtube_transcript_api library helped us retrieve video transcripts efficiently. We processed these transcripts to include timestamps, which are crucial for pinpointing specific moments in videos.
Large Language Model for Q&A
We chose the DeepSeek R1 7B model for its impressive reasoning capabilities. Running locally through Ollama, this model formed the backbone of our question-answering system.
Implementation Walkthrough
Join Professor Mehdi and myself for a discussion about this topic below:
What you’ll learn 🤓:
🔎 Design and implement with us the core architecture of an AI app like Remy
🚀 A detailed code walk through of the main steps of the implementation
🦄 Discussion of areas of improvement and potential real-world applications and commercialization
👇
Before we go on…a quick announcement -
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🛠️✨ Happy practicing and happy building! 🚀🌟
Thanks for reading our newsletter. You can follow us here: Angelina Linkedin or Twitter and Mehdi Linkedin or Twitter.
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📚 Also if you'd like to learn more about RAG systems, check out our book on the RAG system: You can download for free on the course site:
https://maven.com/angelina-yang/mastering-rag-systems-a-hands-on-guide-to-production-ready-ai
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