When you need Memory Buffer Window and Toolvectorstore talking to each other, here are the 314 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 Toolvectorstore
My workflow 14. Uses supabase, redis, openAi, googleCalendarTool. Webhook trigger; 91 nodes.
This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle
Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.
⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.
This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗
AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, chainLlm, vectorStoreQdrant. Chat trigger; 72 nodes.
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
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.
Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.
Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.
Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI
This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter, memoryBufferWindow. Event-driven trigger; 50 no
Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questi
Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 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
This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additio
Turn your cluttered inbox into a smart, autonomous assistant that categorizes emails, replies to leads, checks your calendar, and notifies you on Telegram—all without lifting a finger.
Boost your productivity with this AI-powered email and calendar assistant:
This workflow is a complete AI-powered customer support automation for e-commerce businesses.
See more Memory Buffer Window workflows · Toolvectorstore workflows
FAQ
How do I trigger a Toolvectorstore 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 Toolvectorstore 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 Toolvectorstore 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 → Toolvectorstore 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.