Informationextractor → OpenAI Chat

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

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

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

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

Selenium Ultimate Scraper Workflow. Uses html, lmChatOpenAi, httpRequest, limit. Webhook trigger; 63 nodes.

Selenium Ultimate Scraper Workflow. Uses html, lmChatOpenAi, httpRequest, limit. Webhook trigger; 63 nodes.

The Ultimate Scraper for n8n uses Selenium and AI to retrieve any information displayed on a webpage. You can also use session cookies to log in to the targeted webpage for more advanced scraping need

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

Business owners, industry specialists, and AI developers building domain-specific search experiences. It generates custom search filters to boost technical authorities and block lead-gen aggregators,

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

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

On my never-ending quest to find the best embeddings model, I was intrigued to come across Voyage-Context-3 by MongoDB and was excited to give it a try.

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

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. 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.

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.

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