When you need Chainllm and Informationextractor talking to each other, here are the 78 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair Chainllm with Informationextractor
Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 87 nodes.
> Transform Your Email Workflow with Intelligent Automation
Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS copy. Uses outputParserStructured, chainLlm, googleDrive, stickyNote. Webhook trigger; 67 nodes.
Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights
crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.
I originally started to template to ask questions on the "n8n @ scale office-hours" livestream videos but then extended it to include the latest videos on the official channel.
Automate Sales Meeting Prep With Ai & Apify Sent To Whatsapp. Uses gmail, googleCalendar, lmChatOpenAi, informationExtractor. Event-driven trigger; 61 nodes.
Splitout Googlecalendar. Uses gmail, googleCalendar, lmChatOpenAi, informationExtractor. Event-driven trigger; 61 nodes.
This n8n template builds a meeting assistant that compiles timely reminders of upcoming meetings filled with email history and recent LinkedIn activity of other people on the invite. This is then disc
This end-to-end AI-powered recruitment automation workflow helps HR and talent acquisition teams automate the complete hiring pipeline—from resume intake and parsing to GPT-4-based evaluation, TA appr
Splitout Filter. Uses manualTrigger, outputParserStructured, lmChatOpenRouter, informationExtractor. Event-driven trigger; 51 nodes.
This intelligent workflow automatically discovers and analyzes recently funded startups by: Monitoring multiple news sources (TechCrunch and VentureBeat) for funding announcements Using AI to extract
Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.
Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.
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
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
local_RAG. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chatTrigger, memoryBufferWindow. Event-driven trigger; 39 nodes.
Spot Workplace Discrimination Patterns with AI. Uses manualTrigger, lmChatOpenAi, httpRequest, html. Event-driven trigger; 38 nodes.
Spot Workplace Discrimination Patterns with AI. Uses manualTrigger, lmChatOpenAi, httpRequest, html. Event-driven trigger; 38 nodes.
• Scrapes company review data from Glassdoor using ScrapingBee. • Extracts demographic-based ratings using AI-powered text analysis. • Calculates workplace disparities with statistical measures like z
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
See more Chainllm workflows · Informationextractor workflows
FAQ
How do I trigger a Informationextractor action from Chainllm?
Most workflows in this list use either a Chainllm 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 Chainllm 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 Chainllm → 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.