Connecting Gemini to Real-World Data Using LangChain's Open-Source Capabilities

Explore the integration of LangChain's open-source capabilities with Vertex AI to connect Large Language Models (LLMs) to external knowledge sources and APIs. Delve into practical use cases, including natural language interactions with SQL databases, complex workflow automation using Gemini Function Calling, and enhanced chatbots powered by real-time data and tool integrations. Learn how to leverage LangChain's flexibility within Vertex AI's Reasoning Engine to maximize the potential of generative AI in your applications. Gain hands-on experience through step-by-step codelabs, interactive notebooks, and comprehensive documentation on Function Calling in Gemini. Presented by Kristopher Overholt and Julia Wiesinger, this 21-minute technical session from Google I/O 2024 provides valuable insights for developers looking to harness the power of LLMs in real-world scenarios.

Connect Gemini to real-world data using LangChain’s open-source capabilities