The goal of this workshop is to guide participants through the practical development of AI agents using vector databases, with a focus on Weaviate. During the session, attendees will: 

• Learn the fundamentals of vector search, vector databases for AI agents, and Weaviate’s architecture for semantic and multimodal retrieval.

• Build an end-to-end agentic workflow using Weaviate, covering document and image search, automated reasoning, and chaining multiple agent steps. 

• Gain hands-on experience through templated Jupyter Notebooks, using real-world data to progress from simple queries to advanced multimodal and agentic flows powered by vector databases for AI agents.

• Develop practical skills in integrating agents for intelligent automation across diverse use cases — no prior agent framework experience required.