When you need Memory Buffer Window and Textsplittercharactertextsplitter talking to each other, here are the 215 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
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
🤖📈 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.
Order Shipped Notification. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.
Applicant Feedback Folder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.
Birthday Telegram Reminder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.
Calendar to ClickUp. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, 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.