Personalized tour package recommendations with GPT-4o, Pinecone & Lovable UI
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI Chat Model, Vector Store Question Answer, Pinecone Vector Store and Embeddings OpenAI.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Tour Recommendation AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Answer questions with a vector store); output parser: Structured Output Parser
- Respond to Webhook: sends the response back to the webhook caller
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 Tour Recommendation AI Agent (v1.9): 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) Tour Recommendation AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
Personalized Tour Package Recommendations via n8n + Pinecone + Lovable UI I've created an intelligent Travel Itinerary Planner that connects a Lovable front-end UI with a smart backend powered by n8n, Pinecone, and OpenAI to deliver personalized tour packages…