Best n8n Embeddings Google Gemini Node & Integration: Workflows & Templates

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

Intelligent ITSM Ticket Classification and Resolution using Gemini and Qdrant

Use this powerful n8n workflow to automatically classify incoming ITSM tickets using Gemini AI, leverage a Qdrant RAG knowledge base for instant answers, and create incidents in ServiceNow.

WhatsApp Virtual Receptionist with RAG and Gemini AI

Build an advanced WhatsApp virtual receptionist using this n8n workflow. This automation handles both text and voice inputs, leveraging Google Gemini AI, Pinecone RAG for accurate answers, and context-aware memory.

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

WhatsApp Virtual Receptionist with RAG and Gemini AI

Build an advanced WhatsApp virtual receptionist using this n8n workflow. This automation handles both text and voice inputs, leveraging Google Gemini AI, Pinecone RAG for accurate answers, and context-aware memory.

Vectorizing Medical Procedure Codes (TUSS) using PGVector and Gemini

Create a high-performance semantic search index for Brazilian medical procedures (TUSS) using this automated n8n workflow. Leverages Google Gemini embeddings and PGVector for RAG.

Advanced RAG Agent System with Metadata Enrichment and Dynamic Filtering

Deploy an advanced n8n workflow for Retrieval-Augmented Generation (RAG) agents featuring dynamic filtering, Cohere reranking, Gemini LLMs, and asynchronous document enrichment using Supabase vector database.

Context-Aware RAG Indexing from Google Drive to Pinecone

Use this advanced n8n workflow to automate RAG data preparation. It pulls documents from Google Drive, uses an AI agent (via OpenRouter/Gemini) for context-aware chunking, and indexes the enriched vectors in Pinecone. Leverage powerful n8n templates for superior vector search.

RAG Chatbot for Multi-Format Documents (PDF, CSV, JSON)

Use this powerful n8n workflow to create a conversational AI agent capable of reading and answering questions based on complex multi-format file uploads (PDF, CSV, images, JSON). Leverage OpenAI and Gemini for advanced RAG capabilities.

RAG Chatbot for HR Documents using Google Drive and Gemini

Use this comprehensive n8n workflow to create a Retrieval-Augmented Generation (RAG) chatbot. Automatically sync company policies from Google Drive to Pinecone using Gemini embeddings.

AI-Powered Social Media Manager Telegram Bot

Deploy a powerful n8n workflow integrating a Telegram bot, Google Gemini AI, and vector memory (RAG) to automate drafting and publishing social media posts on LinkedIn and X.

Documentation Expert Chatbot with RAG and Gemini

Build a custom RAG chatbot using an n8n workflow, Gemini, and Supabase. Index n8n documentation to create an AI expert that answers questions about any n8n node or feature accurately.

WhatsApp Virtual Receptionist with RAG and Gemini AI

Build an advanced WhatsApp virtual receptionist using this n8n workflow. This automation handles both text and voice inputs, leveraging Google Gemini AI, Pinecone RAG for accurate answers, and context-aware memory.

Vectorizing Medical Procedure Codes (TUSS) using PGVector and Gemini

Create a high-performance semantic search index for Brazilian medical procedures (TUSS) using this automated n8n workflow. Leverages Google Gemini embeddings and PGVector for RAG.

Context-Aware RAG Indexing from Google Drive to Pinecone

Use this advanced n8n workflow to automate RAG data preparation. It pulls documents from Google Drive, uses an AI agent (via OpenRouter/Gemini) for context-aware chunking, and indexes the enriched vectors in Pinecone. Leverage powerful n8n templates for superior vector search.

RAG Chatbot for Multi-Format Documents (PDF, CSV, JSON)

Use this powerful n8n workflow to create a conversational AI agent capable of reading and answering questions based on complex multi-format file uploads (PDF, CSV, images, JSON). Leverage OpenAI and Gemini for advanced RAG capabilities.

Personal Portfolio CV RAG Chatbot with Conversation History and Email Reporting

Build a powerful RAG chatbot for your resume or portfolio using an n8n workflow, Pinecone, Google Gemini, and NocoDB. This n8n templates includes conversation history logging and daily Gmail summary reports.

AI Sales Agent with RAG, CRM, Calendar, and Billing Integration

Build an expert multi-platform AI Sales Agent using n8n workflow automation. Integrates RAG (Postgres PGVector), CRM, Google Calendar, and Stripe for multi-channel sales support.

Automated RAG Chatbot Setup with Google Drive and Gemini

Implement a powerful RAG chatbot using this comprehensive n8n workflow. Automatically ingest Google Drive files, embed content using Gemini, store in Pinecone, and answer queries via an AI Agent.

AI Powered SEO Blog Content Generator using Gemini and Pinecone RAG

A robust n8n workflow for generating SEO-optimized blog content. It scrapes web data, analyzes SERP using Scrapeless, and leverages a Pinecone RAG knowledge base via n8n templates.

Data-Driven Report Generation with Gemini AI and Google Docs

Use this advanced n8n workflow to automatically transform uploaded Excel or CSV data into structured, professional reports analyzed by Gemini AI and formatted in Google Docs. Explore complex n8n templates.

AI Content Generator for Markdown Documentation using Gemini and RAG

Use this sophisticated n8n workflow to automatically transform technical n8n workflow JSON into publication-ready, SEO-optimized markdown posts using Google Gemini 2.5 Pro, LlamaIndex, and Cohere Reranking. Accelerate n8n templates creation.

Comprehensive Visual Node Reference Library

Explore the complete range of capabilities in this reference n8n workflow. This n8n template visualizes essential n8n node types: triggers, AI agents, data flow, and core logic components.

AI Document Assistant via Telegram with Gemini and Supabase

Deploy a custom AI Document Q&A chatbot on Telegram using this powerful n8n workflow. Integrates Google Gemini, Supabase vector storage, and advanced RAG capabilities. Explore n8n templates for AI.

Self-Updating RAG Chatbot with Google Drive, Gemini, and Supabase

Use this comprehensive n8n workflow to build a dynamic Retrieval-Augmented Generation (RAG) system. Sync Google Drive files to Supabase vectors using the Google Gemini n8n node.

Factual Learning Assistant using RAG, Gemini, Telegram, and MongoDB

Use this professional n8n workflow template to build a secure Retrieval-Augmented Generation (RAG) system. Integrate Telegram, Google Gemini, and MongoDB Atlas to create an expert AI learning assistant based strictly on your proprietary documents.

Google Drive to Supabase RAG Vector Store Creation using Gemini

Create a powerful RAG vector database. This n8n workflow ingests Google Drive documents, uses Gemini for embeddings, and stores results in Supabase. Essential n8n templates for AI data pipelines.

Automated RAG Dataset Creation: Web Scraping to Pinecone Vector Indexing with Gemini

Use this powerful n8n workflow to automate web scraping with Bright Data, process and structure data using the Gemini AI agent, and create RAG-ready vector datasets in Pinecone.

Documentation Expert Chatbot with Gemini RAG Pipeline

Build a specialized, hallucination-free AI documentation expert using RAG (Retrieval-Augmented Generation) in an advanced n8n workflow. This template indexes the n8n docs using Gemini embeddings.

AI-Powered Student Enrollment and Auto-Evaluation System

Automate course registration evaluation using an n8n workflow. This powerful n8n template uses a custom n8n trigger form, OpenAI for AI grading, Pinecone for RAG, Google Sheets for logging, and Gmail for instant student notifications.

Chat with PDF Knowledge Base via Telegram and Google Gemini

Deploy a powerful RAG system using this n8n workflow. Index PDFs via Telegram, leverage Google Gemini LLM, and store vectors in Pinecone. A robust n8n template for conversational AI.