Automated Survey Analysis and Logging Workflow

This n8n workflow automates the process of analyzing survey responses using advanced AI and machine learning tools, then logs results into a Google Sheet. It begins with a webhook trigger that receives survey data submitted via a form or API call. The data is then split into manageable chunks for analysis. Each chunk is embedded into vector representations using OpenAI’s embedding model, and these vectors are stored in a Pinecone vector database for efficient similarity search. When a new survey response arrives, the workflow fetches relevant similar entries from Pinecone and processes the combined information through a language model, which interprets the data. The analysis results are then appended to a Google Sheet for record-keeping. In case of errors, an alert is sent to Slack. This workflow is ideal for organizations needing automated survey insights, enabling real-time analysis and streamlined data logging.