Agentic AI Systems with Vector DBs & RAG

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Agentic AI Systems with Vector DBs & RAG

Coursera · Intermediate ·🔍 RAG & Vector Search ·2mo ago

Skills: RAG Basics90%Vector Stores80%AI Systems Design70%

Key Takeaways

Builds Agentic AI systems using RAG and vector databases like pgVector

Original Description

Want to build AI that learns, adapts, and evolves in real-time? The future of AI is Agentic AI. While traditional models are built on static logic, Agentic AI enables systems to learn, think, and make autonomous decisions, evolving with each interaction and adapting to new data. In this Agentic AI course, you’ll master RAG (Retrieval-Augmented Generation) and vector databases like pgVector and ChromaDB, unlocking the ability to build AI systems that dynamically retrieve data, learn from context, and make smarter decisions. You’ll gain hands-on experience creating scalable, real-time adaptive AI—critical for industries looking to stay ahead. What makes this course unique? Unlike others, it combines cutting-edge RAG tools with practical applications of pgVector and ChromaDB, giving you the power to create AI that evolves with every interaction. Perfect for AI developers, engineers, and innovators eager to shape the future of AI. Don’t just follow trends—lead them. Enroll now and start building the future of AI today!

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