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Learn to build practical AI agents using vector databases in this comprehensive workshop focused on Weaviate's capabilities for semantic and multimodal retrieval. Master the fundamentals of vector search and vector database architecture while developing end-to-end agentic workflows that incorporate document and image search, automated reasoning, and multi-step agent chaining. Work through hands-on exercises using templated Jupyter Notebooks with real-world data, progressing from basic queries to advanced multimodal and agentic flows powered by vector databases. Gain practical experience integrating agents for intelligent automation across diverse use cases, with no prior agent framework experience required, and develop skills applicable to building sophisticated AI systems that can handle complex reasoning and retrieval tasks.
