AutomationFlowsRecipes › Chat Trigger → Google Gemini Chat

Chat Trigger → Google Gemini Chat

When you need Chat Trigger and Google Gemini Chat talking to each other, here are the 206 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with Google Gemini Chat

AI & RAG

My Workflow. Uses outputParserStructured, httpRequest, lmChatGoogleGemini, chainLlm. Scheduled trigger; 82 nodes.

Output Parser Structured, HTTP Request, Google Gemini Chat +15
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

Automate Google Classroom via the Google Classroom API to efficiently manage courses, topics, teachers, students, announcements, and coursework.

Chat Trigger, Agent Tool, HTTP Request Tool +3
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

Catat Keuangan Keluarga. Uses chatTrigger, agent, lmChatGoogleGemini, outputParserStructured. Webhook trigger; 55 nodes.

Chat Trigger, Agent, Google Gemini Chat +5
AI & RAG

The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that or

Chat Trigger, Chain Llm, OpenRouter Chat +8
AI & RAG

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. Event-driven trigger; 50 nodes.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

This workflow is designed for e-commerce, marketing teams, or creators who want to automate the production of high-quality, AI-generated product visuals and ad creatives.

HTTP Request, Error Trigger, Discord +7
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
AI & RAG

This workflow implements an AI-powered WhatsApp booking assistant for a hair salon. The system allows customers to book, reschedule, or cancel appointments automatically via text or voice messages on

Google Calendar Tool, Google Sheets Tool, Error Trigger +15
AI & RAG

This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specifi

Reranker Cohere, Supabase Vector Store, Agent +10
AI & RAG

Chat with a Gemini-powered operations assistant to create and update Notion tasks, send emails via Gmail, and pull live project summaries — all from a single chat interface. Daily and weekly status re

Chat Trigger, Execute Workflow Trigger, Google Gemini +7
AI & RAG

use cases: research stock market in Indonesia. analyze the performance of companies belonging to certain subsectors or company comparing financial metrics between BBCA and BBRI providing technical ana

Chat Trigger, Chat, Telegram Trigger +10
Social Media

Credentials-Setup. Uses twitter, reddit, googleDocs, googleDrive. Event-driven trigger; 43 nodes.

Twitter, Reddit, Google Docs +22
AI & RAG

Unlock adaptive, context-aware AI chat in your automations—no coding required!

Agent, Chat Trigger, Google Gemini Chat +4
AI & RAG

Description This workflow automatically classifies user queries and retrieves the most relevant information based on the query type. 🌟 It uses adaptive strategies like; Factual, Analytical, Opinion, a

Agent, Chat Trigger, Google Gemini Chat +4
AI & RAG

updated!. Uses lmChatGoogleGemini, agent, memoryBufferWindow, httpRequest. Webhook trigger; 40 nodes.

Google Gemini Chat, Agent, Memory Buffer Window +2
AI & RAG

Adaptive RAG. Uses agent, chatTrigger, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 39 nodes.

Agent, Chat Trigger, Google Gemini Chat +4
AI & RAG

This n8n workflow implements a version of the Adaptive Retrieval-Augmented Generation (RAG) framework. It recognizes that the best way to retrieve information often depends on the type of question ask

Agent, Chat Trigger, Google Gemini Chat +4
AI & RAG

🎓 Undergraduate and graduate students or researchers in soft-science fields (psychology, sociology, economics, business) ⏱️ People who don’t have time to read full papers and need quick overviews 📊 An

Agent, Google Sheets, Output Parser Structured +5
AI & RAG

This workflow helps users find the most relevant n8n templates using AI.

HTTP Request, Qdrant Vector Store, Google Gemini Embeddings +5
AI & RAG

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Agent, Chat Trigger, Tool Think +11

See more Chat Trigger workflows · Google Gemini Chat workflows

FAQ

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

Most workflows in this list use either a Chat 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 Chat 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 Chat 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.