Most-used Textsplittertokensplitter workflows
- Alfred (funcional) (83 nodes)
- Build a Multi-functional Telegram Bot with Gemini, RAG PDF Search & Google Suite — n8n Textsplittertokensplitter workflow (79 nodes)
- Wordpress AI Chatbot to Enhance User Experience with Supabase and Openai (53 nodes)
- RAG & Genai App with Wordpress Content — n8n Textsplittertokensplitter workflow (53 nodes)
- RAG & Genai App with Wordpress Content (embeddings Open Ai) (53 nodes)
- 🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant — n8n Textsplittertokensplitter workflow (50 nodes)
- 🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant (document Default Data Loader) (50 nodes)
- Build a Comprehensive Multimodal Assistant on Telegram with Openai, Serp and Vector Store — n8n Textsplittertokensplitter workflow (48 nodes)
- Email AI Auto-responder. Summerize and Send Email (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (41 nodes)
- Automate Email & Calendar Management with Gmail, Google Calendar & Gpt-4o AI — n8n Textsplittertokensplitter workflow (38 nodes)
Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.
This comprehensive workflow bundle is designed as a powerful starter kit, enabling you to build a multi-functional AI assistant on Telegram. It seamlessly integrates AI-powered voice interactions, an
Wordpress Ai Chatbot To Enhance User Experience With Supabase And Openai. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.
RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.
RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.
🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. Event-driven trigger; 50 nodes.
This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.
This workflow transforms your Telegram bot into J.A.R.V.I.S., a powerful, multimodal AI assistant. It can understand and process text, voice messages, images, and documents. The assistant can search t
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 41 nodes.
Boost your productivity with this AI-powered email and calendar assistant:
This workflow creates an intelligent document assistant called "Mookie" that can answer questions based on your uploaded documents. Here's how it operates: Document Ingestion: The system can automatic
Gist:Olegivaniv. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter, httpRequest. Event-driven trigger; 38 nodes.
Generate Exam Questions. Uses manualTrigger, vectorStoreQdrant, httpRequest, embeddingsOpenAi. Event-driven trigger; 37 nodes.
This Workflow simulates an AI-powered phone agent with RetellAI with two main functions: 📅 Appointment Booking – It can schedule appointments directly into Google Calendar. 🧠 RAG-based Information Ret
This workflow automates the creation of exam questions (both open-ended and multiple-choice) from educational content stored in Google Docs, using AI-powered analysis and vector database retrieval
AI Phone Agent with RetellAI. Uses lmChatOpenAi, outputParserStructured, vectorStoreQdrant, embeddingsOpenAi. Webhook trigger; 36 nodes.
This workflow is a complete AI-powered customer support automation for e-commerce businesses.
Upsert Huge Documents In A Vector Store With Supabase And Notion. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.
RAG on living data. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.
Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG. Uses googleCalendar, lmChatOpenAi, chainLlm, vectorStoreQdrant. Webhook trigger; 34 nodes.
This workflow is designed to process PDF documents using Mistral's OCR capabilities, store the extracted text in a Qdrant vector database, and enable Retrieval-Augmented Generation (RAG) for answering
Voiceflow is a no-code platform that allows you to design, prototype, and deploy conversational assistants across multiple channels—such as chat, voice, and phone—with advanced logic and natural langu
This workflow adds the capability to build a RAG on living data. In this case Notion is used as a Knowledge Base. Whenever a page is updated, the embeddings get upserted in a Supabase Vector Store.
Automate AI-Powered RAG System with Contextual Q&A, Google Sheets Integration, and Glide Frontend—Powered by n8n, OpenAI, Supabase, and Google Apps Script.
Click here to access this Workflow for free.
Effortless Email Management with AI. Uses emailReadImap, markdown, emailSend, vectorStoreQdrant. Event-driven trigger; 31 nodes.
Effortless Email Management with AI. Uses emailReadImap, markdown, emailSend, vectorStoreQdrant. Event-driven trigger; 31 nodes.
WooCommerce AI Chatbot Workflow for Post-Sales Support. Uses chatTrigger, memoryBufferWindow, wooCommerceTool, toolCalculator. Chat trigger; 31 nodes.
This workflow automates the handling of incoming emails, summarizes their content, generates appropriate responses using a retrieval-augmented generation (RAG) approach, and obtains approval or sugges
This WooCommerce-integrated chatbot is designed to transform post-sales customer support by combining automation and artificial intelligence to deliver fast, secure, and personalized assistance.
This workflow is a complete AI-powered customer support automation for WooCommerce e-commerce websites. It combines conversational AI, Retrieval-Augmented Generation (RAG), vector search, WooCommerce
Business WhatsApp AI RAG Chatbot. Uses respondToWebhook, agent, stickyNote, lmChatOpenAi. Webhook trigger; 28 nodes.
The provided workflow in n8n is designed to create a Business WhatsApp AI RAG (Retrieval-Augmented Generation) Chatbot. Webhook Setup: The workflow begins by setting up webhooks for verification and r
Business WhatsApp AI RAG Chatbot. Uses agent, lmChatOpenAi, vectorStoreQdrant, httpRequest. Webhook trigger; 28 nodes.
Business WhatsApp AI RAG Chatbot. Uses agent, lmChatOpenAi, vectorStoreQdrant, httpRequest. Webhook trigger; 28 nodes.
Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. Uses manualTrigger, github, extractFromFile, embeddingsOpenAi. Event-driven trigger; 27 nodes.
Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. Uses manualTrigger, github, extractFromFile, embeddingsOpenAi. Event-driven trigger; 27 nodes.
Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is based on movie recommendations on the IMDB-top1000 dataset. You can provide your wishe
This workflow transforms your n8n instance into a fully automated AI sales assistant for WooCommerce stores. It detects customer intent from chat, searches products, answers FAQs, generates Stripe pay
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Event-driven trigger; 26 nodes.
Automate Siem Alert Enrichment With Mitre Att&Ck, Qdrant & Zendesk In N8N. Uses chatTrigger, agent, lmChatOpenAi, splitOut. Chat trigger; 26 nodes.
Splitout Zendesk. Uses chatTrigger, agent, lmChatOpenAi, splitOut. Chat trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
AI-Powered Email Automation with RAG. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
This workflow is ideal for businesses looking to automate their email responses, especially for handling inquiries about company information. It leverages AI to ensure accurate and professional commun
This workflow is ideal for: Cybersecurity teams & SOC analysts who want to automate SIEM alert enrichment. IT security professionals looking to integrate MITRE ATT&CK intelligence into their ticketing
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
AI-Powered Email Automation for Business: Summarize & Respond with RAG. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
AI-powered Email Auto-responder with Qdrant Knowledge Base. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.
OpenAI Personal Shopper with RAG and WooCommerce. Uses chatTrigger, memoryBufferWindow, toolCalculator, lmChatOpenAi. Chat trigger; 25 nodes.
OpenAI Personal Shopper with RAG and WooCommerce. Uses chatTrigger, memoryBufferWindow, toolCalculator, lmChatOpenAi. Chat trigger; 25 nodes.
This workflow combines OpenAI, Retrieval-Augmented Generation (RAG), and WooCommerce to create an intelligent personal shopping assistant. It handles two scenarios: Product Search: Extracts user inten
Business WhatsApp AI RAG Chatbot. Uses respondToWebhook, agent, stickyNote, lmChatOpenAi. Webhook trigger; 24 nodes.
Voice RAG Chatbot with ElevenLabs and OpenAI. Uses agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 23 nodes.
Voice RAG Chatbot with ElevenLabs and OpenAI. Uses agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 23 nodes.
The "Voice RAG Chatbot with ElevenLabs and OpenAI" workflow in n8n is designed to create an interactive voice-based chatbot system that leverages both text and voice inputs for providing information.
ai-voice-chatbot-with-elevenlabs-&-openai-for-customer-service-and-restaurants. Uses agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 23 nodes.
31-ai-voice-chatbot-with-elevenlabs-&-openai-for-customer-service-and-restaurants. Uses agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 23 nodes.
Slack AI Chatbot with RAG for company staff. Uses agent, memoryBufferWindow, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 21 nodes.
Imagine having an AI chatbot on Slack that seamlessly integrates with your company’s workflow, automating repetitive requests. No more digging through emails or documents to find answers about IT requ
Carga Documentos. Uses googleDrive, openAi, googleDriveTrigger, embeddingsOpenAi. Event-driven trigger; 20 nodes.
QdrantVectorStore:*. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 18 nodes.
Karakeep. Uses httpRequest, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader. Webhook trigger; 17 nodes.
Larry Llama. Uses agent, lmChatOllama, memoryPostgresChat, embeddingsOllama. Webhook trigger; 17 nodes.
This workflow retrieves airline web check-in URLs from Google Sheets, scrapes their content, employs an LLM to generate structured JSON data, refreshes the sheet, creates embeddings, and saves them in
This n8n template shows you how to automate document summarization while keeping full digital sovereignty. By combining Nextcloud for file storage and the IONOS AI Model Hub, your sensitive documents
This workflow vectorizes the TUSS (Terminologia Unificada da Saúde Suplementar) table by transforming medical procedures into vector embeddings ready for semantic search.
Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.
Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.
IMS - Backend. Uses postgres, vectorStoreMilvus, embeddingsCohere, documentDefaultDataLoader. Scheduled 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:
Manual Googledrive. Uses manualTrigger, lmChatOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 6 nodes.
This workflow includes advanced features like text summarization and tokenization, it's ideal for automating document processing tasks that require parsing and summarizing text data from Google Drive.
Knowledge Base Upload. Uses vectorStoreQdrant, documentDefaultDataLoader, textSplitterTokenSplitter, embeddingsOpenAi. Event-driven trigger; 5 nodes.
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FAQ
How many n8n Textsplittertokensplitter workflows are in the catalog?
83 n8n workflows in AutomationFlows currently use the Textsplittertokensplitter integration — triggers, actions, or both.
How do I connect Textsplittertokensplitter in n8n?
After importing the workflow JSON, n8n will prompt for Textsplittertokensplitter credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Textsplittertokensplitter workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.