Travel Advisory Monitoring and Analysis Workflow

This n8n workflow is designed to automate the monitoring, analysis, and logging of travel advisories from an external source via a webhook. It begins with receiving data through a webhook trigger, which is then processed and split into manageable text chunks using a language model’s text splitter. These chunks are embedded into vector representations using OpenAI’s embedding API, facilitating efficient similarity searches within a Pinecone vector database. The workflow enables querying this vector store to identify relevant travel advisory information, which is then processed via a language model designed for conversational AI. Results are stored in a Google Sheet for record-keeping, providing a comprehensive system for real-time travel advisory monitoring, analysis, and logging. This setup is valuable for organizations or travel news services that need to stay updated on safety information and maintain logs for future reference.