Automatic media download from WhatsApp Business messages with HTTP storage

Company knowledge base agent (RAG)

Overview Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questions based on your company documents—automatically updated via Google Drive. Whether it’s deployed in Telegram or embedded on your website, this agent supports voice and text input, transcribes voice messages, pulls relevant context from your internal files, and responds with a helpful,

Enhance Chat Responses with Real-Time Search via Bright Data MCP & Gemini AI

Disclaimer This template is only available on n8n self-hosted as it's making use of the community node for MCP Client. Who this is for? The Chat Conversations with Bright Data MCP Search Engines & Google Gemini workflow is designed for users who need real-time, AI-enhanced conversations powered by live search engine results. This workflow is tailored for:​ 1. Data Analysts - Who want live, search-based data fused with AI reasoning. 2. Marketing Researchers - Seeking up-to-the-minute market or c

RAG chatbot for company documents using Google Drive and Gemini

This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated documents in a Pinecone vector database, allowing the chatbot to provide accurate and up-to-date information. The workflow uses Google's Gemini AI for both embeddings and response generation. How it works The workflow uses two Google Drive Trigger nodes: one for detecting new files added to a speci

Basic RAG chat

This workflow demonstrates a simple Retrieval-Augmented Generation (RAG) pipeline in n8n, split into two main sections: 🔹 Part 1: Load Data into Vector Store Reads files from disk (or Google Drive). Splits content into manageable chunks using a recursive text splitter. Generates embeddings using the Cohere Embedding API. Stores the vectors into an In-Memory Vector Store (for simplicity; can be replaced with Pinecone, Qdrant, etc.). 🔹 Part 2: Chat with the Vector Store Takes user input from

VEO3 video generator with AI optimization and Google Drive storage

Welcome to my VEO3 Video Generator Workflow! This automated workflow transforms simple text descriptions into professional 8-second videos using Google's cutting-edge VEO3 AI model. Users submit video ideas through a web form, and the system automatically generates optimized prompts, creates high-quality videos with native audio, and delivers them via Google Drive - all powered by Claude 4 Sonnet for intelligent prompt optimization. This workflow has the followi

AI-powered accounting reports from Sabre EDI with GPT-4 and Pinecone RAG

This workflow automates the process of reading EDI files generated by Sabre, parsing them using an AI Agent, and producing structured accounting reports like: 📌 Accounts Receivable (AR) Summary 📌 Tax and Surcharges Report It also uses Retrieval-Augmented Generation (RAG) to vectorize the Sabre Interface User Record (IUR)—a 154-page technical document—so that the AI agent can reference it when clarification is required while generating reports. ⚙️ Tools & Integrations Used Component:Tool/S

Generate and publish AI short videos using Gemini, Sora-2, Apify, and Google Sheets

1. Overview This workflow automates the process of collecting viral content ideas, generating videos using AI services, and publishing posts to social media platforms. It uses scheduled triggers and external APIs to run the entire content pipeline with minimal manual input. Google Sheets is used as the central data layer to store ideas, track processing status, and prevent duplicate content. The workflow is designed to support continuous content production by connecting idea discovery, content g

Auto-create podcast from YouTube transcript using Dumpling AI and GPT-4o

Who is this for? This workflow is designed for podcast creators, content marketers, and video producers who want to convert YouTube videos into podcast-ready scripts. It's perfect for anyone repurposing long-form content to reach audio-first audiences without manual effort. --- 🧠 What problem is this workflow solving? Creating podcast scripts from YouTube videos manually is time-consuming. This workflow automates the process by pulling transcripts, cleaning the text, organizing the d