AI Agents

Travel planning agent with Gemini 2.0 and OpenAI

13 nodes 206 126 Automatic trigger

Workflow Description

An intelligent travel planning agent combining Gemini 2.0 and OpenAI to deliver personalized recommendations. It processes traveler inquiries, maintains context in memory, and searches a vector database for accurate travel information and destination insights.

How it works

1.Receive traveler questions through the chat interface
2.Process and split text into searchable content chunks
3.Search the vector database for travel destinations and information
4.Generate recommendations using Gemini 2.0 with preserved conversation context
5.Refine responses through OpenAI for polished final output

Use cases

Create customized travel itineraries that remember user preferences across sessions
Intelligently search and recommend destinations, restaurants, and accommodations based on specific criteria
Deliver advanced suggestions combining strengths of two AI models for comprehensive planning

Requirements

Valid Gemini 2.0 API key
OpenAI credentials and embedding model configuration
Couchbase Search database populated with travel data and tourism information

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Chat Trigger Gemini Document Default Data Loader Text Splitter Memory AI Agent Vector Store OpenAI

Details

Trigger Automatic trigger

Nodes 13

Apps 8

Downloads 126

How to Use

1.Click "Download Template"
2.Open your n8n dashboard
3.Go to Workflows > Import from File
4.Select downloaded file and configure credentials

Nodes Used (13)

When chat message received

Chat Trigger

Google Gemini Chat Model

Gemini Model

Sticky Note

Webhook

Default Data Loader

Document Default Data Loader

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

Sticky Note1

Sticky Note

Simple Memory

Memory Buffer Window

AI Travel Agent

Agent

Retrieve docs with Couchbase Search Vector

Vector Store Couchbase Search

#10

Insert docs with Couchbase Search Vector

Vector Store Couchbase Search

#11

Generate OpenAI Embeddings using text-embedding-3-small

OpenAI

#12

Generate OpenAI Embeddings using text-embedding-3-small1

OpenAI

#13

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