When you need Memory Buffer Window and Textsplittercharactertextsplitter talking to each other, here are the 229 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair Memory Buffer Window with Textsplittercharactertextsplitter
Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.
OIL Rag. Uses lmChatOpenAi, embeddingsOpenAi, agent, telegramTrigger. Event-driven trigger; 53 nodes.
/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
Agente_RAG. Uses supabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 50 nodes.
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
YT Processing UPDATED. Uses googleSheets, youTube, httpRequest, googleDrive. Event-driven trigger; 44 nodes.
🤖📈 This workflow is my personal solution for the Agentic Arena Community Contest, where the goal is to build a Retrieval-Augmented Generation (RAG) AI agent capable of answering questions based on a p
This workflow builds a dual-system that connects automated document ingestion with a live product catalog chatbot powered by Mistral AI and Supabase.
This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to proce
This workflow is perfect for: Businesses and teams who need an automated solution to organize, analyze, and retrieve insights from their internal documents. Researchers who want to quickly analyze and
This workflow creates a conversational assistant that can answer questions based on your Google Drive documents. It automatically processes various file types and uses Retrieval-Augmented Generation (
This workflow combines website chatbot intelligence with automated document ingestion and vectorization — enabling live Q&A from both chat input and processed Google Drive files. It uses Mistral AI fo
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
Airbnb Guest Assistant. Uses lmChatOpenAi, googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 26 nodes.
One-line summary : Answers WhatsApp in under 100 words, understands voice notes, and retrieves trusted answers from your Google Drive docs (RAG) kept fresh weekly.
> Summary: > This workflow listens for new Gmail messages, extracts and cleans email content, generates embeddings via OpenAI, stores them in a Qdrant vector database, and then enables a Retriev
RAG AI Agent. Uses lmChatOpenAi, memoryBufferWindow, googleDrive, documentDefaultDataLoader. Webhook trigger; 20 nodes.
Use Vectors in RAG. Uses googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 17 nodes.
This workflow is perfect for: Healthcare ecommerce businesses that want to automate product recommendations. Founders or developers building an AI assistant using retrieval-augmented generation (RAG)
Calendar Event Auto-tag. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.
Grant Application Routing. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.
Idea to IG Carousel. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.
API Stats Chart. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.
Customer Auto-tagging. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStorePinecone. Webhook trigger; 12 nodes.
See more Memory Buffer Window workflows · Textsplittercharactertextsplitter workflows
FAQ
How do I trigger a Textsplittercharactertextsplitter action from Memory Buffer Window?
Most workflows in this list use either a Memory Buffer Window webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Textsplittercharactertextsplitter nodes handle the action. Open any workflow's detail page to see the exact node graph.
Do I need both a Memory Buffer Window and a Textsplittercharactertextsplitter account?
Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.
Are these Memory Buffer Window → Textsplittercharactertextsplitter workflows free?
Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.