AutomationFlows › Recipes › Informationextractor → Google Gemini Chat

Informationextractor → Google Gemini Chat

When you need Informationextractor and Google Gemini Chat talking to each other, here are the 119 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Informationextractor with Google Gemini Chat

AI & RAG
Episode 11: AI Shorts Factory App

Episode 11: AI shorts factory app. Uses httpRequest, googleSheets, lmChatOpenAi, lmChatOllama. Event-driven trigger; 96 nodes.

HTTP Request, Google Sheets, OpenAI Chat +15
AI & RAG
Influencer 2.0

Influencer 2.0. Uses formTrigger, form, informationExtractor, lmChatOpenAi. Event-driven trigger; 93 nodes.

Form Trigger, Form, Information Extractor +13
AI & RAG
Content - Newsletter Agent (form Trigger)

Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 91 nodes.

Form Trigger, Chain Llm, Output Parser Structured +8
AI & RAG
API Schema Extractor

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 (http Request) #4

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
API Schema Extractor (http Request)

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
AI & RAG
Content - Newsletter Agent

Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 87 nodes.

Form Trigger, Chain Llm, Output Parser Structured +7
AI & RAG
Episode 18 Scary Stories Tiktok Final

Episode 18 Scary Stories TikTok final. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 83 nodes.

HTTP Request, OpenAI Chat, Ollama Chat +12
AI & RAG
My Workflow (output Parser Structured)

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

Output Parser Structured, HTTP Request, Google Gemini Chat +15
AI & RAG
Search Worflow Docker Complete

Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +14
AI & RAG
Episode 16: AI Poem Tiktok Videos Community

Episode 16: AI Poem TikTok videos community. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 71 nodes.

HTTP Request, OpenAI Chat, Ollama Chat +12
AI & RAG
Filter Urls with Ai-powered Robots.txt Compliance & Source Verification

Version : 1.0

Information Extractor, Model Selector, Lm Chat Mistral Cloud +5
AI & RAG
Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion Ats Copy

Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS copy. Uses outputParserStructured, chainLlm, googleDrive, stickyNote. Webhook trigger; 67 nodes.

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG
Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion Ats

Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG
Crawl4 AI

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
Scary Stories Tiktok Video - Flux

Scary Stories TikTok video - flux. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 65 nodes.

HTTP Request, OpenAI Chat, Ollama Chat +12
AI & RAG
Search Worflow Docker

Search Worflow Docker. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG
Evaluate AI Workflows Using Google Sheets, Gemini, Claude, Gpt, and Perplexity

This template and YouTube video goes over 5 different implementations of evaluations within n8n. Categorization Correctness Tools used String similarity Helpfulness

Evaluation, Evaluation Trigger, Google Gemini Chat +8
AI & RAG
Leads

leads. Uses supabase, gmail, formTrigger, httpRequest. Webhook trigger; 62 nodes.

Supabase, Gmail, Form Trigger +13
AI & RAG
Wordpress Blog Generation with AI Research, Image Creation & Auto Publishing

This is an automated blog post generation system that: Researches topics using AI agents and web search tools Writes complete blog posts with proper SEO structure Generates custom images for each post

Output Parser Structured, Google Gemini Chat, HTTP Request Tool +11
AI & RAG
End-to-end AI Blog Research and Writer with Gemini Ai, Supabase and Nano-banana

Fully automated blog creation system using n8n + AI Agents + Image Generation

Agent, Output Parser Structured, Groq Chat +9
AI & RAG
🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant

🤖 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
🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant (document Default Data Loader)

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
Fast-track Cv Screening with AI Analysis From Gmail to Slack and Google Sheets

CV → Match → Screen → Decide, all automated

HTTP Request, Information Extractor, Google Sheets +7

See more Informationextractor workflows · Google Gemini Chat workflows

FAQ

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

Most workflows in this list use either a Informationextractor 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 Informationextractor 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 Informationextractor → 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.