Learn to connect large language models (LLMs) to real-world data and external knowledge sources with LangChain's open-source capabilities integrated with Vertex AI. Explore use cases such as natural language queries for interacting with Cloud SQL databases, complex workflow automation using Gemini function calling, interactive data-mapping and analysis, and enhanced chatbots using real-time data and tool integrations. Harness LangChain's flexibility with Gemini in Vertex AI's reasoning engine to unlock the true potential of generative AI and push boundaries.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

A hands-on coding session and deep dive for connecting Gemini to real-world systems, data, and APIs with Function Calling and Reasoning Engine. Function calling helps developers build online generative AI applications that have access to the latest data and information. We'll dive into practical use cases like using natural language to interact with SQL databases, automating complex workflows, and enhancing your chatbots with real-time data. You'll be equipped to connect LLMs to any API or system and extend the capabilities of what LLMs can do.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.