Answer support chat questions from uploaded documents with OpenAI
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Embeddings OpenAI and OpenAI Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Support agent (AI Agent): runs an AI agent, with model: Chat model - Support agent; 1 tool (Knowledge base agent); memory: Conversation memory
- Store documents in vector store (Simple Vector Store): stores documents in the Simple vector store, with embeddings: Embeddings OpenAI; document loader: Data Loader - Split uploaded files
- Format reply (Edit Fields (Set)): sets 1 field: data
- Send reply (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Simple Vector Store
@n8n/n8n-nodes-langchain.vectorStoreInMemory - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool - Respond to Webhook
n8n-nodes-base.respondToWebhook - Edit Fields (Set)
n8n-nodes-base.set
From the author
Quick overview This workflow lets you upload PDF/CSV/TXT documents into an in-memory vector store and exposes a header-authenticated webhook that answers support questions using OpenAI chat models, optionally retrieving facts from the uploaded documents while…