Knowledge Bases & Memory for Agentic AI

Generative AI has taken a leap forward with models supporting function calling and 'agentic' capabilities, enabling them to do more than just generate outputs. In this session, discover how vector databases power key AI architectures like RAG and agents. Learn what vector databases are, how they integrate into these systems, and how you can leverage them effectively. From creating AI workflows to utilizing your own data as a knowledge base, this talk will equip you with insights into building intelligent, tool-enabled AI agents. Join us to explore the future of generative AI!

Key Takeaways:

• Explore the latest advancements in Generative AI, including function calling and agentic capabilities.
• Understand the role of vector databases as the backbone of AI architectures like RAG and agents.
• Learn how to integrate your own data into AI workflows as a knowledge base for enhanced functionality.
• Discover practical insights on function calling and building AI agents for advanced applications.

Joining her is JP Hwang a Senior Developer Educator at Weaviate, who is passionate about empowering others to build with AI. He brings a combination of technical expertise, empathy, and bad jokes to all his endeavors, to make learning fun and empowering for both sides. You can reach him on Linkedin.

Tuana Çelik, a Developer Relations Engineer at Weaviate. In her role, she educates the open-source community about AI tools, the latest methods, and workflows. Previously, she led the Developer Relations team at deepset, the company behind Haystack. You can reach her on LinkedIn