AutomationFlowsRecipes › Informationextractor → Google Gemini Chat

Informationextractor → Google Gemini Chat

When you need Informationextractor and Google Gemini Chat talking to each other, here are the 94 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

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

Form Trigger, Form, Information Extractor +13
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
AI & RAG

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. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 83 nodes.

HTTP Request, OpenAI Chat, Ollama Chat +12
AI & RAG

Version : 1.0

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

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

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

Output Parser Structured, Chain Llm, Google Drive +9
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

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

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

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. 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

CV → Match → Screen → Decide, all automated

HTTP Request, Information Extractor, Google Sheets +7
AI & RAG

Who is this for? Event organizers, conference planners, and marketing teams fighting registration drop-off who want 4-field forms with LinkedIn-level attendee intelligence. What problem is this workfl

Data Table, HubSpot, Email Send +4
AI & RAG

This n8n template automatically crawls technical documentation websites, scrapes their content, and converts it into clean, structured, developer-friendly documentation. Each page is organized into fo

Google Drive, N8N Nodes Olostep, Information Extractor +3
AI & RAG

This n8n template automates complaint mining from unstructured text sources and turns raw user feedback into clear, actionable insights. It uses AI to identify recurring complaints, pain points, and t

Output Parser Structured, Chain Llm, Google Gemini Chat +5
AI & RAG

My workflow 3. Uses formTrigger, splitInBatches, lmChatGoogleGemini, httpRequest. Event-driven trigger; 36 nodes.

Form Trigger, Google Gemini Chat, HTTP Request +10
CRM & Sales

Who is this for? Event sales teams & conference organizers processing 100+ sponsor/partner emails weekly who need instant lead qualification, Salesforce automation, & pipeline analytics. _

Sentiment Analysis, Gmail, Gmail Trigger +8
CRM & Sales

Email Sentiment Router for Event Sales Leads

Sentiment Analysis, Gmail, Gmail Trigger +8
AI & RAG

This n8n template automates scraping content from Skool communities using the Olostep API. It collects structured data from Skool pages and stores it in a clean format, making it easy to analyze commu

N8N Nodes Olostep, Form Trigger, HTTP Request +3
Marketing & Ads

The Recap AI - Insurance Lawyer Lead Gen. Uses executeWorkflowTrigger, formTrigger, @mendable/n8n-nodes-firecrawl, googleSheets. Event-driven trigger; 33 nodes.

Execute Workflow Trigger, Form Trigger, @Mendable/N8N Nodes Firecrawl +4

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.