n8n workflows for Pinecone Vector Store.

WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.

This advanced n8n workflow automates the full lead enrichment, qualification, and personalized outreach process tailored specifically for the B2B real estate sector. Integrating top platforms like Api

This workflow automates patient communication for medical clinics using the WhatsApp Business API. It supports appointment booking, rescheduling, service inquiries, follow-ups, and document submission

WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.

This n8n template automatically classifies incoming emails (Sales, Support, Internal, Finance, Promotions) and routes them to a dedicated OpenAI LLM Agent for processing. Depending on the category, th

Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, Goog

This simple philosophy changes the way we think about automated sales agents. Context changes everything. In this 4-part workflow, we start by creating a knowledge base that will act as context across

Turn unstructured pitch decks and investment memos into polished Due Diligence PDF reports automatically. This n8n workflow handles everything from document ingestion to final delivery, combining inte

Transform raw investment memorandums and financial decks into comprehensive, professional Due Diligence (DD) PDF reports. This workflow automates document parsing via LlamaParse, enriches internal dat

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Tech Radar. Uses googleDrive, documentDefaultDataLoader, stickyNote, mySql. Scheduled trigger; 53 nodes.

This project is built on top of the famous open source ThoughtWorks Tech Radar.

/billing - For payment and invoice questions /tech-support - For technical assistance /return-policy - For returns and refunds Command-based routing Direct department access via slash commands Tracks

This is an ultimate AI assistant: Handle emails, schedule meetings, search the web, take notes, post to social media, and retrieve information from your knowledge base, all through simple Telegram com

Streamline client onboarding and lay the groundwork for future Retrieval-Augmented Generation (RAG) capabilities by automatically transforming Slack messages into structured data using GPT-4o, Google

Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 nodes.

This workflow automates the early-stage job application process using AI.

This workflow builds a WhatsApp business assistant that uses OpenAI to classify incoming messages and route them to FAQ answers via Pinecone RAG, order placement and inventory updates in Google Sheets

Template name Smart AI Support Assistant for Telegram

Imagine having a personal AI secretary accessible right from your Telegram, ready to assist you with information and remember everything you discuss. This n8n workflow transforms Telegram into your in

DA_ZALO1. Uses embeddingsOpenAi, vectorStorePinecone, rerankerCohere, agent. Event-driven trigger; 42 nodes.

Collects cybersecurity news from trusted RSS feeds and uses OpenAI’s Retrieval-Augmented Generation (RAG) capabilities with Pinecone to filter for content that is directly relevant to your organizatio

This workflow demonstrates how to use AI text classifier to classify incoming emails, and uses a multi-agent architecture to respond for each email category respectively.

Advanced Ai Demo Presented At Ai Developers 14 Meetup. Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Workflow 2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node,

Streamline M&A due diligence with AI. This n8n workflow automatically parses financial documents using LlamaIndex, embeds data into Pinecone, and generates comprehensive, AI-driven reports with GPT-5-

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Every company has documents sitting in Google Drive that nobody reads. HR policies, sales playbooks, product FAQs, financial guidelines — all written once, never found again. This workflow turns all o

📝 Description This workflow helps automatically classify incoming emails using a combination of conditional logic and minimal AI-based classification. The system checks email content, performs sentime

> Note: This template requires an Apify account, an OpenAI account, and a Pinecone database.

Gist:Olegivaniv. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter, httpRequest. Event-driven trigger; 38 nodes.

My workflow 3. Uses formTrigger, splitInBatches, lmChatGoogleGemini, httpRequest. Event-driven trigger; 36 nodes.

Agente de Agendamento YT (V.2). Uses googleSheets, n8n-nodes-evolution-api, openAi, redis. Webhook trigger; 36 nodes.

Personal Portfolio Resume CV Chatbot. Uses embeddingsGoogleGemini, stickyNote, scheduleTrigger, lmChatGoogleGemini. Scheduled trigger; 35 nodes.

This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone.

This template is perfect for:

This n8n workflow automates the entire process, from learning based on your website data, documents to a multi-channel chatbot with automated ticket creation. It's the perfect solution for businesses

This workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate responses in a way that’s intelligent, brand-aligned, and always up to date.

Need to turn a one-line chat request into a fully-wired n8n workflow template—complete with AI agents, RAG, and web-search super-powers—without lifting a finger? That’s exactly what Agent Builder auto

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This template provides a fully functional, enterprise-grade HR chatbot that employees can interact with using plain language in text or voice in any of the 10 supported Indian languages.

This powerful n8n workflow deploys a sophisticated, multi-talented AI chatbot designed to streamline your e-commerce and customer support operations. The AI assistant can intelligently understand user

This workflow allows you to generate riddle-themed vertical videos (9:16), render them using Creatomate, and upload them directly to YouTube — all automatically. It's optimized for low-cost operation

This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. It stores both sources in a Pinecone vector database so your AI agent can r

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This n8n workflow automates the process of collecting, storing, and summarizing customer reviews from the Apple App Store for multiple apps. It fetches daily reviews, stores them in a Pinecone vector

This n8n workflow establishes a sophisticated, multi-stage support system. It automatically validates user identity, analyzes ticket severity and sentiment, and attempts to resolve lower-priority issu

This template gives your HR or operations team an AI-powered Slack bot that answers employee questions about internal policies — directly in DM, available to everyone in the workspace, with no per-use

This workflow automatically fetches reviews for one or more Google Play Store apps, summarizes the feedback using OpenAI, stores and manages review data with Pinecone, and posts the summary to a Slack

Description

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This workflow is designed for support teams, data engineers, and AI developers who want to centralize Jira issue data into a vector database. It collects open issues and their associated comments, con

This workflow implements a complete Retrieval-Augmented Generation (RAG) knowledge assistant with built-in document ingestion, conversational AI, and automated analytics using n8n, OpenAI, and Pinecon

Empower your workflows with an intelligent AI chat assistant that retrieves real-time context from Google Sheets and a Pinecone knowledge base using Retrieval-Augmented Generation (RAG). 🤖📂 This workf

Deploy a personal AI assistant that answers recruiter questions about your skills and projects, then automatically emails your CV as a PDF attachment when requested. Upload your portfolio documents (r

The IngestionDocs workflow is a fully automated **document ingestion and knowledge management system built with n8n**. Its purpose is to continuously ingest organizational documents from Google Drive,

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Automates the process of generating, storing, and publishing engaging LinkedIn posts derived from books (PDFs) using AI and vector search.

This advanced Retrieval-Augmented Generation (RAG) automation template for n8n enables contextual, real-time recommendations using Slack messages as input. The workflow extracts referenced documents f

WhatsApp Agent. Uses whatsAppTrigger, agent, memoryBufferWindow, whatsApp. Event-driven trigger; 27 nodes.

Use cases include: Building a knowledge base* from your website. Creating a chatbot* that answers customer queries using your own site content. Powering RAG workflows* for FAQs, support docs, or produ

Categories: Business Automation, Customer Support, AI, Knowledge Management

AI. Uses lmChatOpenAi, toolWorkflow, telegram, telegramTrigger. Event-driven trigger; 27 nodes.

Whatsapp. Uses whatsAppTrigger, agent, memoryBufferWindow, whatsApp. Event-driven trigger; 27 nodes.

Airbnb Guest Assistant. Uses lmChatOpenAi, googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 26 nodes.

Unlock unparalleled efficiency and elevate customer satisfaction with our AI-Powered Customer Support: Email, Knowledge Base & Human Escalation Automation template. This sophisticated n8n workflow is

AI chatbots are only as good as the data they learn from. Most large language models (LLM) rely only on their training datasets.

Turn WhatsApp chats into instant answers and real-time bookings—all in one n8n workflow. Your AI Agent leverages Gemini embeddings + Pinecone for on-the-fly knowledge retrieval, then logs reservations

It uses Retrieval-Augmented Generation (RAG) to allow users to upload documents, which are then indexed into a vector database, enabling the bot to answer questions based only on the provided content.

This n8n template turns any website or documentation portal into a fully functional AI-powered support chatbot — no manual copy-pasting, no static FAQs. It uses MrScraper to crawl and extract your sit

RAG + CHAT IA. Uses vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent. Event-driven trigger; 25 nodes.

Email_sequencing_SDR. Uses gmail, lmChatOpenAi, googleSheets, agent. Scheduled trigger; 25 nodes.

This advanced n8n automation template empowers your Slack bot to act as an intelligent assistant: when a user asks a question or requests a suggestion (by mentioning the bot), it automatically retriev

Embeddingfile. Uses googleDriveTrigger, googleDocs, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 24 nodes.

This workflow automates customer chat with Chatwoot & n8n AI agent that handles incoming chats, qualifies leads, answers FAQs from Pinecone knowledge base, and escalates to a live human agent when one

This template is designed for podcasters, researchers, educators, product teams, and support teams who work with audio content and want to turn it into searchable knowledge. It is especially useful fo

This template provides a full end-to-end Retrieval-Augmented Generation (RAG) system using n8n. It includes two connected workflows: A data ingestion pipeline that crawls a website and stores its cont

Enable smart, real-time answers in your WhatsApp groups using a custom webhook, Pinecone vector database, and no Facebook Business setup.

This workflow is built for e-commerce businesses, retail store owners, and entrepreneurs who want to provide intelligent customer support and seamless order taking through Telegram. If you're tired of

Manual Googledrive. Uses manualTrigger, embeddingsOpenAi, stickyNote, documentDefaultDataLoader. Event-driven trigger; 22 nodes.

Who is This For? This is for normal people or people just starting off and wanting to have a AI chatbot that can process data to use when talking to the user.

This workflow synchronizes MySQL database table schemas with a vector database in a controlled, idempotent manner. Each database table is indexed as a single vector to preserve complete schema context

Chat With Pdf. Uses embeddingsOpenAi, documentDefaultDataLoader, googleDrive, chatTrigger. Event-driven trigger; 22 nodes.

This workflow ingests PDF cost-engineering manuals from Google Drive into a Pinecone vector index using OpenAI embeddings, then answers user questions via an n8n chat webhook using a retrieval-augment

Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone. Uses manualTrigger, agent, vectorStorePinecone, embeddingsGoogleGemini. Event-driven trigger; 21 nodes.

This workflow enables automated, scalable collection of high-quality, AI-ready data from websites using Bright Data’s Web Unlocker, with a focus on preparing that data for LLM training. Leveraging LLM

What Problem Does This Solve? 🛠️ This workflow automates the process of extracting information from a Google Doc, storing it in a Pinecone vector database, and using it to personalize and send emails

This n8n template demonstrates how to build an AI-powered customer support workflow that automatically handles incoming Gmail messages, classifies them, finds answers from your knowledge base, and sen

Workflow-Rag. Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 21 nodes.

Telegram RAG pdf. Uses telegramTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 20 nodes.

Telegram RAG pdf. Uses telegramTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 20 nodes.

Manual Code. Uses manualTrigger, stickyNote, vectorStorePinecone, chatTrigger. Event-driven trigger; 20 nodes.

This workflow allows you to ask questions about a PDF document. The answers are provided by an AI model of your choice, and the answer includes a citation pointing to the information it used.

This workflow automates the process of reading EDI files generated by Sabre, parsing them using an AI Agent, and producing structured accounting reports like:

Automatically sync files from Google Drive into a searchable AI knowledge base with Pinecone, and answer user queries using GPT-4o with conversational memory.

[](https://www.youtube.com/watch?v=AqVSLj7qb2Q)

Enhance content quality, SEO performance, and editorial consistency using an AI-powered optimization engine that blends OpenAI, Google Sheets history, Pinecone knowledge, and real-time SERP intelligen

LLM Testing. Uses chatTrigger, toolVectorStore, vectorStorePinecone, embeddingsOpenAi. Chat trigger; 19 nodes.

RAG+URL. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmOpenAi. Chat trigger; 19 nodes.

Automatically guide students through personalized learning sessions using AI-powered intent classification, book-based knowledge retrieval (RAG), and full session logging — all without writing a singl

The AI Support Agent combines Gmail, Slack, and Google Drive into a seamless support workflow powered by GPT-4o and Pinecone.

RAG AI Agent for Documents in Google Drive → Pinecone → OpenAI Chat (n8n workflow)

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RAG Workflow For Stock Earnings Report Analysis. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes

RAG Workflow For Company Documents stored in Google Drive. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger

RAG Workflow For Stock Earnings Report Analysis. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes

google-drive-rag. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

EJ 7 - RAG (archivo pdf en la web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

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 docum

This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector sear

This project is an AI-powered WhatsApp virtual agent built using n8n, designed to handle both text and voice-based customer messages automatically. The workflow integrates Google Gemini, Pinecone, and

This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into

Transform any device manual into an intelligent AI assistant that provides 24/7 support for your users. This template works with ANY household appliance, electronic device, or technical equipment. Man

This workflow automates a full RAG pipeline for structured documents (like insurance policies). Watches a Google Drive folder for new PDFs Uploads to LlamaIndex Cloud for parsing → returns clean Markd

This template monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. It’s a practical, product

Description This workflow is built for e-commerce store owners, customer support teams, and retail businesses who want to provide instant, intelligent email support without hiring additional staff. If

This workflow automates the process of summarizing recent Zendesk support tickets and sharing key insights in a Slack channel. It is ideal for support teams who want daily, AI-generated overviews of c

📊 Description

Main Workflow. Uses documentDefaultDataLoader, vectorStorePinecone, lmChatXAiGrok, embeddingsOpenAi. Webhook trigger; 18 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses manualTrigger, httpRequest, vectorStorePinecone, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

RAG:Context-Aware Chunking | Google Drive to Pinecone via OpenRouter & Gemini. Uses manualTrigger, splitInBatches, lmChatOpenRouter, vectorStorePinecone. Event-driven trigger; 17 nodes.

EJ 7 - RAG (web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 17 nodes.

What this does

This workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Specification (documentation) using natural language. Built with n8n, OpenAI's LLMs and

Workflow based on the following article. https://www.anthropic.com/news/contextual-retrieval

Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving information from an external vector database. In this post, we’ll walk through a

This advanced workflow creates a customized, embedded lead-capture form, automatically logs client data to a spreadsheet, and uses AI to instantly analyze and summarize the lead for rapid human follow

This workflow automates the end-to-end process of capturing company information from Google Drive, storing it semantically in Pinecone, and interacting with users via an intelligent AI chatbot. It eli

This template is an n8n workflow that integrates with Jira to provide automated replies.

Transform your email workflow with this intelligent automation that drafts professional emails through Telegram commands using AI and contact retrieval. Key Features

bug_reporter. Uses telegramTrigger, chainRetrievalQa, lmChatOpenAi, retrieverVectorStore. Event-driven trigger; 17 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

Karakeep. Uses httpRequest, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader. Webhook trigger; 17 nodes.

Manual Stickynote. Uses googleDrive, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, stickyNote. Chat trigger; 16 nodes.

"AI-Powered CFO Forecasting Agent: Automated Revenue Predictions from Stripe Data"

This tutorial explains how to build the backend workflow in n8n that indexes YouTube video transcripts into a Pinecone vector database. Note: This workflow handles the processing and indexing of trans

Use cases are many: Populate a custom chatbot's knowledge base, create a powerful search index for your website, or build a comprehensive repository of information for internal tools!

📌 Description

This workflow allows users to ask questions about past meetings using their voice. It converts the voice question into text, searches stored meeting notes using Pinecone, and replies with a spoken ans

Provide your S3 bucket containing documents such as PDFs and MS Word in the "Get Files from S3" node. You will need to provide AWS credentials that will allow the node to access the bucket and downloa

Cognito FAQ. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 16 nodes.

Agent Vocal Insane. Uses agent, lmChatOpenAi, googleCalendarTool, toolVectorStore. Webhook trigger; 16 nodes.

Manual Stickynote. Uses stickyNote, manualTrigger, vectorStorePinecone, chatTrigger. Event-driven trigger; 15 nodes.

Who it's for

The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared to

This template provides an AI-powered Q&A assistant for the Urology domain using Retrieval-Augmented Generation (RAG). It uses Pinecone for vector search and GPT-4o for conversational responses.

This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual responses by combining your knowledge base with AI capabilities. The system aut

This template creates an intelligent AI assistant for WhatsApp that can: Respond naturally to messages using Google Gemini AI Remember previous conversations for each user Access a knowledge base for

Replace manual task prioritization with intelligent AI reasoning that thinks like a Chief Operating Officer. This workflow automatically fetches your Asana tasks every morning, analyzes them using adv

Automate expense reviews with AI-powered CFO-level analysis. This workflow monitors Airtable expense submissions, uses GPT-4 to analyze expenses like an experienced CFO, flags suspicious expenses with

This workflow automates customer email support by combining Gmail, AI classification, and a knowledge base to provide instant, accurate, and friendly responses. It’s designed for businesses that want

This n8n workflow template lets you chat with your Google Drive documents (.docx, .json, .md, .txt, .pdf) using OpenAI and Pinecone vector database. It retrieves relevant context from your files in re

V3_RAG_Chatbot_Copy. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 15 nodes.

Rag. Uses documentDefaultDataLoader, agent, rerankerCohere, memoryBufferWindow. Event-driven trigger; 15 nodes.

26-ask-questions-about-a-pdf-using-ai. Uses vectorStorePinecone, chatTrigger, agent, googleDrive. Event-driven trigger; 15 nodes.

Google Drive Automation. Uses agent, googleDriveTrigger, googleDrive, extractFromFile. Event-driven trigger; 14 nodes.

This n8n template empowers IT support teams by automating document ingestion and instant query resolution through a conversational AI. It integrates Google Drive, Pinecone, and a Chat AI agent (using

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

🧠 Google Drive Upload Trigger → Pinecone Vector Upsert for Document Indexing Category: AI & LLM / Document Indexing Level: Intermediate Tags: Google Drive, Pinecone, OpenAI, Embeddings, Vector Store,

Who’s it for

✍️ Ultimate AI Blog Content Creator with Slack + Pinecone + Perplexity

This workflow turns your Gmail inbox into an AI-powered customer support assistant using Google Gemini, OpenAI embeddings, and Pinecone vector search. It automatically classifies incoming emails, retr

This workflow automates a full RAG ingestion pipeline. When a new OCR JSON file is added to a Google Drive folder, the workflow extracts lesson metadata, parses and cleans the Arabic text, generates s

This workflow automates the process of handling new tour package requests received via email, analyzes the request, and provides personalized tour package recommendations using AI and a vector databas

This n8n workflow automates the handling of incoming emails. It detects and filters out spam, searches a knowledge base (FAQ) stored in a Pinecone vector database, and sends a reply using Gmail — all

AI Agent with Tools. Uses agent, lmChatOpenAi, lmChatAnthropic, toolCode. Webhook trigger; 12 nodes.

This template is a workflow that registers Jira tickets to Pinecone.

Customer Support Workflow. Uses stickyNote, gmailTrigger, textClassifier, lmChatOpenRouter. Event-driven trigger; 11 nodes.

Built by Setidure Technologies Automate intelligent, friendly replies to customer queries using AI, vector search, and Gmail — all without human effort.

17 · Company RAG Chatbot qua Telegram: AI Agent + Pinecone + DeepSeek. Uses telegramTrigger, agent, lmChatDeepSeek, memoryBufferWindow. Event-driven trigger; 11 nodes.

17 · Company RAG Chatbot qua Telegram: AI Agent + Pinecone + Gemini. Uses telegramTrigger, agent, lmChatGoogleGemini, memoryBufferWindow. Event-driven trigger; 11 nodes.

meeting_notes. Uses googleDocs, slack, chainLlm, vectorStorePinecone. Webhook trigger; 10 nodes.

Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings

This release introduces a Voice-Enabled Tour Recommendation System that leverages n8n, ElevenLabs Voice Agent, OpenAI GPT-4o, and Pinecone Vector DB to deliver personalized travel itineraries based on

Use cases Convert documentation sites into intelligent support chatbots Build product knowledge bases from marketing websites Create internal search tools from company intranets Power customer support

tr3dbs. Uses telegramTrigger, embeddingsOpenAi, lmChatOpenAi, telegram. Event-driven trigger; 10 nodes.

crtnvecdb. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 9 nodes.

Prod: Notion to Vector Store - Dimension 768. Uses textSplitterTokenSplitter, notionTrigger, notion, summarize. Event-driven trigger; 8 nodes.

This n8n automation is designed to extract, process, and store content from Notion pages into a Pinecone vector store. Here's a breakdown of the workflow:

rag_faq_indexation. Uses vectorStorePinecone, googleDrive, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 8 nodes.

RAG — Ingestion. Uses httpRequest, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 7 nodes.

17 · RAG Ingest: Nạp Company Knowledge vào Pinecone (Gemini Embedding). Uses formTrigger, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

API Stats Chart. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Customer Auto-tagging. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Applicant Feedback Folder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Calendar to ClickUp. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

CSV Attachment to Airtable. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Toggl Daily Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

PR Merged QA Notify. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Survey Auto Analyze. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

GA Report Email. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Hourly Weather Log. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Low Stock Discord. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Podcast Transcribe Publish. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

Keyword Rank Checker. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

RSS Headlines Slack. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.

JSON to Sheet. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.