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 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. 

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

The goal of this workshop is to provide participants with practical skills and hands-on experience in building Agentic RAG AI applications using Pinecone and AWS. During the session, attendees will: 

• Learn the fundamentals of vector database concepts and Pinecone architecture. 

• Gain hands-on experience building an end-to-end Agentic Retrieval-Augmented 

• Generation (RAG) chat application using Pinecone alongside AWS services.