RAG chatbot for company documents using Google Drive and Gemini

Adaptive RAG with Google Gemini & Qdrant: context-aware query answering

Description This workflow automatically classifies user queries and retrieves the most relevant information based on the query type. 🌟 It uses adaptive strategies like; Factual, Analytical, Opinion, and Contextual to deliver more precise and meaningful responses by leveraging n8n's flexibility. Integrated with Qdrant vector store and Google Gemini, it processes each query faster and more effectively. 🚀 How It Works? Query Reception: A user query is triggered (e.g., through a chatbot interface).

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

BrowserAct Powers Telegram Bot AI Music Recommendations for Spotify Blueprint

Automate AI-powered data processing and Telegram delivery. Stop manual tasks—get intelligent, routed results in Telegram. WHAT IT DOES: Triggers via Telegram Bot for user requests/file inputs Uses Google Gemini AI for content analysis/generation Leverages BrowserAct + Iterator for multi-item web scraping Processes data with Make AI Toolkit/Tools for customization Delivers results to multiple Telegram Bot channels Runs automatically on Telegram triggers HOW IT WORKS: Telegram Bot initiates workfl

Automatic media download from WhatsApp Business messages with HTTP storage

This workflow listens for incoming WhatsApp messages that contain media (e.g., images) and automatically downloads the media file using WhatsApp's private media URL. - The trigger node activates when a WhatsApp message with media is received. - The media ID is extracted from the message payload. - A private media URL is retrieved using the media ID. - The media file is downloaded using an authenticated HTTP request. Ideal for: - Archiving WhatsApp media to external systems. - Triggering further

Extract and process information directly from PDF using Claude and Gemini

Overview - This workflow helps you compare Claude 3.5 Sonnet and Gemini 2.0 Flash when extracting data from a PDF - This workflow extracts and processes the data within a PDF in one single step, instead of calling an OCR and then an LLM” How it works - The initial 2 steps download the PDF and convert it to base64. - This base64 string is then sent to both Claude 3.5 Sonnet and Gemini 2.0 Flash to extract information. - This workflow is made to let you compare results, latency, and cost (in their

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

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

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,