AutomationFlowsRecipes › Execute Workflow Trigger → Google Gemini Chat

Execute Workflow Trigger → Google Gemini Chat

When you need Execute Workflow Trigger and Google Gemini Chat talking to each other, here are the 90 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Execute Workflow Trigger with Google Gemini Chat

AI & RAG

Api Schema Extractor. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG

Wait Splitout. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG

This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
Data & Sheets

Stopanderror Splitout. Uses outputParserStructured, lmChatOpenAi, formTrigger, chainLlm. Event-driven trigger; 85 nodes.

Output Parser Structured, OpenAI Chat, Form Trigger +8
AI & RAG

This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.

Output Parser Structured, OpenAI Chat, Form Trigger +8
AI & RAG

How it Works

Memory Buffer Window, Agent, Output Parser Structured +9
AI & RAG

Version : 1.0

Information Extractor, Model Selector, Lm Chat Mistral Cloud +5
AI & RAG

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG

> AI-powered nutrition assistant for Telegram — log meals, set goals, and get personalized daily reports with Google Sheets integration.

Telegram, Google Gemini, Google Gemini Chat +7
AI & RAG

This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents. ​

Tool Http Request, Agent, HTTP Request +27
AI & RAG

Main. Uses httpRequest, agent, lmChatGoogleGemini, outputParserStructured. Event-driven trigger; 57 nodes.

HTTP Request, Agent, Google Gemini Chat +4
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Supabase Vector Store, Document Default Data Loader +8
AI & RAG

Tech Radar. Uses googleDrive, documentDefaultDataLoader, stickyNote, mySql. Scheduled trigger; 53 nodes.

Google Drive, Document Default Data Loader, MySQL +15
AI & RAG

This project is built on top of the famous open source ThoughtWorks Tech Radar.

Google Drive, Document Default Data Loader, MySQL +15
AI & RAG

This workflow is an AI-powered Dental Appointment Assistant that automates appointment booking, rescheduling, and cancellations through Telegram or a Webhook. It uses intelligent agents to understand

Memory Buffer Window, Output Parser Structured, Mcp Client Tool +12
AI & RAG

Overview

Google Gemini Chat, Agent, Telegram Trigger +6
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Output Parser Structured, Telegram, N8N Nodes Tesseractjs +14
AI & RAG

This workflow is a fully automated YouTube Shorts production pipeline. It takes the structured output from a video digestion workflow (transcript, key moments, metadata) and produces finished, rendere

HTTP Request, Google Drive, Execute Workflow Trigger +5
AI & RAG

🤖🧑‍💻 AI Agent for Top n8n Creators Leaderboard Reporting. Uses httpRequest, lmChatOpenAi, executeWorkflowTrigger, toolWorkflow. Event-driven trigger; 49 nodes.

HTTP Request, OpenAI Chat, Execute Workflow Trigger +8
AI & RAG

🤖🧑‍💻 AI Agent for Top n8n Creators Leaderboard Reporting. Uses httpRequest, lmChatOpenAi, executeWorkflowTrigger, toolWorkflow. Event-driven trigger; 49 nodes.

HTTP Request, OpenAI Chat, Execute Workflow Trigger +8
AI & RAG

This n8n workflow is designed to automate the aggregation, processing, and reporting of community statistics related to n8n creators and workflows. Its primary purpose is to generate insightful report

HTTP Request, OpenAI Chat, Execute Workflow Trigger +8
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
Slack & Telegram

Splitout Code. Uses slack, splitOut, noOp, lmChatGoogleGemini. Event-driven trigger; 47 nodes.

Slack, Google Gemini Chat, Chain Llm +1
AI & RAG

3969. Uses slack, lmChatGoogleGemini, chainLlm, executeWorkflowTrigger. Event-driven trigger; 47 nodes.

Slack, Google Gemini Chat, Chain Llm +1

See more Execute Workflow Trigger workflows · Google Gemini Chat workflows

FAQ

How do I trigger a Google Gemini Chat action from Execute Workflow Trigger?

Most workflows in this list use either a Execute Workflow Trigger webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Google Gemini Chat nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Execute Workflow Trigger and a Google Gemini Chat account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Execute Workflow Trigger → Google Gemini Chat workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.