AI-Powered Travel Planning with Couchbase and OpenAI

This workflow creates an AI-powered travel planning assistant that leverages Couchbase vector search, OpenAI embeddings, and the Google Gemini language model to provide personalized travel recommendations. It starts with a webhook trigger to receive user questions, then retrieves relevant points of interest from a Couchbase database based on vector similarity, and generates insightful responses. The setup involves configuring Couchbase for vector search, importing location data, and integrating language models for conversational AI. This workflow is highly practical for travel agencies, tour operators, or travel enthusiasts who want an intelligent assistant to suggest destinations and activities based on user preferences, making travel planning more interactive and efficient.