Flight Price Drop Alert Workflow

This n8n workflow is designed to automate the detection and alerting process for flight price drops, helping travelers or travel agencies stay informed about significant price changes. The workflow begins with a webhook trigger that receives flight data, which is then processed and split into manageable text chunks. These chunks are embedded using OpenAI’s embeddings, stored in a Weaviate vector database, and queried for similar entries to identify price drops.

The process involves several advanced integrations: it uses Langchain nodes for text splitting, embedding, and vector search; OpenAI for generating text embeddings; Weaviate as the vector database; and Hugging Face’s transformers for conversational agents. The AI components analyze flight data, compare current prices with historical data, and generate alerts or recommendations based on detected price drops.

Finally, the workflow logs all interactions and findings into a Google Sheet for record-keeping. This setup can be highly useful for travel companies, online booking platforms, or frequent travelers who want automated, timely updates on flight prices, enabling them to make informed booking decisions and potentially save money.