AutomationFlows › Recipes › Agent → Informationextractor

Agent → Informationextractor

When you need Agent and Informationextractor talking to each other, here are the 107 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Agent with Informationextractor

AI & RAG
Automate Viral Content Creation with Openai, Elevenlabs, and Fal.ai for Videos, Podcasts, and Asmr

🎯 Create viral TikToks, Shorts, Reels, podcasts, and ASMR videos in minutes — all on autopilot.

OpenAI, HTTP Request, Form Trigger +7
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
Autonomous Email Management with Gpt-5-mini & Human-in-the-loop for Outlook

> Transform Your Email Workflow with Intelligent Automation

Chain Llm, Microsoft Outlook Trigger, Information Extractor +8
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
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
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
Digistars - Scrape & Crawl

Digistars - Scrape & Crawl. Uses httpRequest, n8n-nodes-firecrawl-scraper, googleSheets, lmChatOpenAi. Event-driven trigger; 63 nodes.

HTTP Request, N8N Nodes Firecrawl Scraper, Google Sheets +5
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
Code Extractfromfile (http Request)

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
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
Bamboohr Ai-powered Company Policies and Benefits Chatbot

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG
Bamboohr Ai-powered Company Policies and Benefits Chatbot (document Default Data Loader)

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG
2464

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Workflow 2464

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
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
Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and Qdrant Vector Store

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG
Bamboohr Ai-powered Company Policies and Benefits Chatbot (document Default Data Loader) (document Default Data Loader)

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
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
AI & RAG
AI Real Estate Agent: End-to-end Ops Automation (web, Data, Voice)

This suite automates distinct aspects of real estate operations: incoming web lead qualification, scheduled/manual data research and content generation, and automated voice call outreach with lead qua

Agent, HTTP Request, OpenAI Chat +6

See more Agent workflows · Informationextractor workflows

FAQ

How do I trigger a Informationextractor action from Agent?

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

Do I need both a Agent and a Informationextractor 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 Agent → Informationextractor 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.