Join us for an in-depth exploration of the Db2 LangChain Connector, the open-source Python library announced in July 2025 that brings IBM Db2 into the LangChain ecosystem. This webinar will introduce developers to the connector's capabilities and showcase its practical applications through a live demonstration.

Built on Db2 12 Mod Pack 2's powerful vector capabilities, this connector enables developers to leverage Db2 as a vector store within LangChain workflows. Our session will demonstrate how to streamline the development of LLM applications-such as AI agents and retrieval-augmented generation (RAG) systems-using Db2 for semantic search and generative AI tasks.

Through a practical demonstration, you'll see firsthand how to integrate this connector into your development workflow, explore real-world use cases, and learn best practices for building scalable AI applications. Whether you're new to vector databases or looking to enhance your existing AI solutions, this session will provide the knowledge and practical insights needed to get started with the Db2 LangChain Connector.

Perfect for developers, data engineers, and AI practitioners ready to combine enterprise-grade database capabilities with modern AI development frameworks.