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Explore the intersection of AI and databases in this hands-on tutorial focused on building AI-supercharged Retrieval Augmented Generation (RAG) applications using a vector database. Dive into the world of AI-native databases and discover how they empower developers to create powerful AI-driven tools. Learn to leverage vector indexes, implement vector and hybrid search techniques, and harness the potential of retrieval augmented generation. Gain practical experience working with an open-source stack, including embeddings, a vector database, and a language model. Master the art of enhancing search capabilities, integrating generative AI models, and improving their performance. Understand the concept of multi-tenancy in AI applications and its implementation. By the end of this 1 hour and 35 minute session, acquire the skills to infuse your applications with AI superpowers, enabling faster and more efficient AI-driven solutions for your business or customers.
