Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI

Manual

High

Nodes

Manual

Trigger

High

Complexity

7/22/2025

Added

Workflow Overview

Total Nodes

Node Types

chat Trigger

When chat message received

1 node

lm Chat Google Gemini

Google Gemini Chat Model

1 node

sticky Note

Sticky Note, Sticky Note1

2 nodes

webhook

Webhook

1 node

document Default Data Loader

Default Data Loader

1 node

text Splitter Recursive Character Text Splitter

Recursive Character Text Splitter

1 node

memory Buffer Window

Simple Memory

1 node

agent

AI Travel Agent

1 node

vector Store Couchbase Search

Retrieve docs with Couchbase Search Vector, Insert docs with Couchbase Search Vector

2 nodes

embeddings Open Ai

Generate OpenAI Embeddings using text-embedding-3-small, Generate OpenAI Embeddings using text-embedding-3-small1

2 nodes

Workflow JSON

10.8 KB

{
  "id": "iGAzT789R7Q1fOOE",
  "meta": {
    "instanceId": "7a1e9dd164c758cbdeb7cf88274e567a937a36ed99d4d22ff24b645841097c48",
    "templateId": "3577",
    "templateCredsSetupCompleted": true
  },
  "name": "Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "0f361616-a552-43ed-9754-794780113955",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        380,
        240
      ],
      "webhookId": "c22b2240-ff07-44e5-a1aa-63584150a1cb",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e8b9815d-0fe5-4e7c-a20b-1602384580cd",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        560,
        480
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "type...

Showing first 1000 characters. Click "Expand" to view the full JSON.