Let’s Build an AI Chatbot for Expo Docs: RAG Tutorial
In this video, learn how to build an AI chatbot using Retrieval-Augmented Generation (RAG) systems. We'll guide you through obtaining data from Expo Docs, generating vector embeddings, storing them in a vector database, and performing similarity searches. Finally, we'll integrate everything into a sleek chat UI for both mobile and web using Expo and Expo Router. Ready to get started and build your own AI Chat Bot? 🤖
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💻 Source Code: https://github.com/notJust-dev/AIExpoBot
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📚 This video includes a lot of tools and technologies, providing an excellent opportunity to learn about:
RAG systems
Gathering data from Expo Docs
Generating vector embeddings
Storing embeddings in a vector database
Performing similarity searches
Building a chat User Interface with Expo and Expo Router
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Disclaimer: This build is for educational purposes only. All views, opinions, and technology choices expressed in this video are my own and do not represent the views, opinions, or technology choices of any entity I have been, am now, or will be affiliated with.
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