Track LLM token costs per customer using the Langchain code node

Discover business leads with Gemini, Brave Search and web scraping

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Uncover new business leads with this AI-Powered Prospect Discovery Agent! This n8n workflow acts as a specialized intelligent assistant that, given a business type and location, uses multiple search strategies to identify a list of potential prospect companies and their websites. Stop manually trawling through search results! This agent automates the initial phase of lead generation by:

Analyze Landing Page with OpenAI and Get Optimization Tips

Your Landing Page is Leaking Sales—Here’s How to Fix It in Seconds

Prevent duplicate webhook executions with AARI idempotency gate

Who this template is for This template is for anyone running n8n workflows that receive webhooks and perform side effects such as payments, emails, database inserts, or API calls. Webhook providers commonly use at-least-once delivery. If a webhook request times out or fails, the provider retries the same event. From n8n’s perspective this appears as a new trigger, which can cause the workflow to execute twice. How it works This workflow adds an idempotency check before any side eff

Generate trend-based marketing videos with Seedance AI, Perplexity, and GPT

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🎬 Seedance Video Marketing AI Agent Description: This AI-powered marketing automation workflow takes a user prompt, researches trending topics, generates a compelling short-form video prompt, and sends it to the Seedance API via Wavespeed to create a ready-to-use video ad — all from a single Telegram message. Built for marketers, founders, and content creators who want to turn trend-based id

Build a knowledge base chatbot with Jotform, RAG Supabase, Together AI & Gemini

Youtube Video: Workflow Pre-requisites Step 1: Supabase Setup First, replace the keys in the "Save the embedding in DB" & "Search Embeddings" nodes with your new Supabase keys. After that, run the following code snippets in your Supabase SQL editor: 1. Create the table to store chunks and embeddings: `sql CREATE TABLE public."RAG" ( id bigserial PRIMARY KEY,

Gmail smart auto-responder with GPT-4o and Google Drive context memory

Advanced Gmail AI Auto-Responder with Context Intelligence The next-generation email automation that knows your communication style, remembers conversations, and responds with human-like intelligence. 🚀 What Makes This Advanced? Unlike basic AI email responders, this workflow creates contextually intelligent responses by: 📄 Reading your communication profile from Google Drive 🧠 Remembering full conversation history with vector embeddings 🎯 Understanding context from previous emails in the thread