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Learn how to leverage function calling in Gemini through this comprehensive technical session that demonstrates connecting large language models to real-time data sources. Explore how to define functions, tools, and parameters that enable Gemini to interact with external systems like databases, CRMs, and document repositories. Master practical implementations through sample code demonstrations, including BigQuery interactions via natural language prompts and RAG operations with vector databases. Discover integration possibilities with open-source frameworks like LangChain and LlamaIndex while gaining insights into best practices for writing descriptive function definitions, handling structured outputs, managing API calls, and working with both text and chat modalities. Access hands-on learning resources including a detailed codelab, sample notebook, and extensive documentation to build applications that seamlessly interact with various APIs and services. Connect with the Google Cloud AI Community for ongoing support and learning opportunities.
