Social Buzz Heatmap: An Automated Social Media Insights Workflow

This n8n workflow is designed to capture, analyze, and log social media buzz data to generate heatmaps of social engagement and sentiment. It begins with a webhook trigger that receives incoming data, which is then split into manageable chunks for processing. The workflow employs OpenAI’s API to create embeddings from social media content, which are subsequently stored in a Supabase vector database for efficient similarity searches.

The process includes querying the database for relevant social buzz data, using Langchain tools to analyze and generate insights through a language model, and maintaining context with a memory buffer. An agent is employed to define and interpret data, resulting in intelligent insights. Finally, the processed insights are logged into a Google Sheet for record-keeping and further analysis.

This workflow is ideal for social media managers and marketing teams seeking to automate the monitoring of social engagement, identify trending topics, and maintain organized reports based on social buzz data.