In this episode of the DevOps Toolchain Podcast, host Joe Colantonio sits down with Richmond Alake, a developer advocate at MongoDB and an AI/ML practitioner with a strong background in computer vision, robotics, and machine learning. With years of experience in software development, Richmond has authored over 200 technical articles and taught numerous AI/ML courses.

Together, they dive into the evolving landscape of AI, machine learning, and multimodal AI, discussing how MongoDB shapes the future of AI-powered applications. Richmond shares insights on how vector embeddings, Retrieval-Augmented Generation (RAG), and agentic systems transform data storage and retrieval for AI-driven development. They also explore the impact of generative AI, the rise of multimodal AI, and how MongoDB serves as the memory provider for intelligent systems.

If you're a developer looking to build AI-powered applications efficiently, streamline your data management, or understand where AI is headed next, this is an episode you don’t want to miss!

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