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

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

Discover the power of connecting LLMs to external knowledge sources and APIs with LangChain's open-source capabilities integrated with Vertex AI. This technical session explores use cases in natural language interactions with SQL databases, complex workflow automation using Gemini Function Calling, and enhanced chatbots powered by real-time data and tool integrations. Harness LangChain's flexibility in Vertex AI's Reasoning Engine to unlock the potential of generative AI in your applications.
Try a step-by-step codelab for using Function Calling in Gemini → https://goo.gle/44a44Dm
Walk through an interactive notebook with Function Calling → https://goo.gle/4b3Ktas
Learn about concepts and code samples in the Function Calling documentation → https://goo.gle/3U4gh8d
Speakers: Kristopher Overholt, Julia Wiesinger
Watch more:
Check out all the AI videos at Google I/O 2024 → https://goo.gle/io24-ai-yt
Check out all the Cloud videos at Google I/O 2024 → https://goo.gle/io24-cloud-yt
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleIO
Products Mentioned: Gemini
Event: Google I/O 2024

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