Learn RAG

This course will teach you how to craft and use embeddings in vector databases. Start off by getting the hang of embeddings and why they're key in AI's thinking process. Then you'll get hands-on practice, as you'll be chunking text documents, generating embeddings, and plugging them into vector databases using tools like Supabase. As you build out your app, you will use similarity searches to find the relevant embeddings in your vector database. Finally, you'll combine these results with the ChatCompletions API from OpenAI to create human-like chat responses. This course is a mix of theory and interactive challenges. By the end, you won't just get the tech stuff; you'll actually have built a proof-of-concept AI Movie Recommendation engine that you can add to your portfolio.