Google Gemini Chat Model and Vector Store Question Answer Tool integration

Save yourself the work of writing custom integrations for Google Gemini Chat Model and Vector Store Question Answer Tool and use n8n instead. Build adaptable and scalable AI, Langchain, workflows that work with your technology stack. All within a building experience you will love.

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How to connect Google Gemini Chat Model and Vector Store Question Answer Tool

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

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Build your own Google Gemini Chat Model and Vector Store Question Answer Tool integration

Create custom Google Gemini Chat Model and Vector Store Question Answer Tool workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.