(5/5)

Travel AssistantAgent

Automated workflow: Travel AssistantAgent. This workflow integrates 11 different services: webhook, stickyNote, textSplitterRecursiveCharacterTextSplitter, lmChatGoogleGemini, agent. It contains 19 nodes and follows best practices for error handling and security.

Integrations Used (1)

Webhook

Workflow Structure (11 nodes)

100%

No Op

When chat message received

No Op

Google Gemini Chat Model

No Op

AI Traveling Planner Agent

No Op

MongoDB Chat Memory

No Op

MongoDB Atlas Vector Store

No Op

Embeddings OpenAI

Webhook

No Op

Default Data Loader

No Op

MongoDB Atlas Vector Store1

No Op

Embeddings OpenAI1

No Op

Recursive Character Text Splitter

Node Types:

default

trigger

Requires credentials

Prerequisites

Required Credentials (3)

Google Palm

Used by: Google Gemini Chat Model

Docs

Mongo Db

Used by: MongoDB Chat Memory, MongoDB Atlas Vector Store +1 more

Docs

OpenAI

Used by: Embeddings OpenAI, Embeddings OpenAI1

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min

Score: 41/100

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "znRwva47HzXesOYk",
  "meta": {
    "instanceId": "workflow-fae050cb",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:55.263431",
    "updatedAt": "2025-09-29T07:07:55.263445",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Travel AssistantAgent",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...