Serve a RAG chat backend for Next.js using OpenAI, Redis, and Pinecone
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 23 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Redis, Vector Store Question Answer, OpenAI Chat Model and Postgres and 2 more.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Set - Config (Edit Fields (Set)): sets 9 fields: vectorNamespaceDefault, allowedNamespaces, embeddingModel…
- Code: runs custom JavaScript code
- If: checks a condition and branches into true / false
- Code: runs custom JavaScript code
- Respond - Validation Error (400) (Respond to Webhook): sends the response back to the webhook caller
- Redis: get
- If: checks a condition and branches into true / false
- Respond - Success (Cached) (Respond to Webhook): sends the response back to the webhook caller
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Tool - Search Knowledge Base); memory: Window Buffer Memory
- Code: runs custom JavaScript code
…plus 6 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent - RAG Assistant (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent - RAG Assistant (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (15)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Respond to Webhook
n8n-nodes-base.respondToWebhook - Redis
n8n-nodes-base.redis - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent - Postgres
n8n-nodes-base.postgres - HTTP Request
n8n-nodes-base.httpRequest - No Operation, do nothing
n8n-nodes-base.noOp - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone
From the author
Quick overview This workflow exposes a secure webhook API for a Next.js app to run a RAG chat agent using OpenAI, a Pinecone vector store, Redis caching, and Postgres logging, and it optionally calls back into Next.js to trigger ISR revalidation when grounded…