AutomationFlowsRecipes › Chat Trigger → Toolvectorstore

Chat Trigger → Toolvectorstore

When you need Chat Trigger and Toolvectorstore talking to each other, here are the 64 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with Toolvectorstore

AI & RAG

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

Chat Trigger, Memory Postgres Chat, Tool Workflow +20
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

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. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This workflow automates multi-channel AI-driven sales engagement for lead qualification, service information delivery, and consultation booking. It integrates WhatsApp, Facebook Messenger, Instagram D

Agent, OpenAI Embeddings, OpenAI Chat +11
AI & RAG

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

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

HTTP Request, Compression, Edit Image +15
AI & RAG

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

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

Boost your productivity with this AI-powered email and calendar assistant:

Chat Trigger, OpenAI Chat, Memory Buffer Window +13
AI & RAG

Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +16
AI & RAG

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

Pinecone Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. Event-driven trigger; 33 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. Event-driven trigger; 33 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

supabase. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 33 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

I prepared a detailed guide explaining how to set up and implement this scenario, enabling you to chat with your documents stored in Supabase using n8n.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

WooCommerce AI Chatbot Workflow for Post-Sales Support. Uses chatTrigger, memoryBufferWindow, wooCommerceTool, toolCalculator. Chat trigger; 31 nodes.

Chat Trigger, Memory Buffer Window, Woo Commerce Tool +13
AI & RAG

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.

Chat Trigger, Memory Buffer Window, Woo Commerce Tool +13
AI & RAG

ejemplo RAG vs CRAG. Uses googleDrive, vectorStoreQdrant, embeddingsOllama, agent. Event-driven trigger; 30 nodes.

Google Drive, Qdrant Vector Store, Ollama Embeddings +9
AI & RAG

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

Google Drive, Pinecone Vector Store, OpenAI Embeddings +7
AI & RAG

Order and Delivery Support. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 29 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +15
AI & RAG

Supabase RAG AI Agent PDFs & More. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Event-driven trigger; 29 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +9

See more Chat Trigger workflows · Toolvectorstore workflows

FAQ

How do I trigger a Toolvectorstore action from Chat Trigger?

Most workflows in this list use either a Chat Trigger 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 Chat Trigger 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 Chat Trigger → 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.