Automate Travel Planning with AI and Couchbase Vector Search
This workflow leverages AI to help users decide on travel destinations by analyzing points of interest stored in Couchbase using vector search. It integrates OpenAI for embeddings and Google Gemini for chat responses.
This workflow is designed for those interested in AI-driven travel planning. It consists of two main workflows: data ingestion and chat application. The data ingestion workflow captures and processes travel-related data into Couchbase, while the chat application uses AI to interact with users, providing travel recommendations based on stored data. The workflow requires setting up Couchbase, OpenAI, and Google Gemini credentials and configuring a Couchbase cluster for vector search. It serves as a foundational template for building AI-powered applications that utilize retrieval-augmented generation (RAG) techniques.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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