Autonomous Vehicle Log Summarizer

This n8n workflow is designed to automate the process of summarizing and storing autonomous vehicle logs using AI technologies. It begins with a Webhook trigger that receives log data, which is then split into manageable chunks using a character-based text splitter. These chunks are processed to generate embeddings via Hugging Face’s AI models, allowing the data to be stored efficiently in a Weaviate vector database. The workflow also includes a query function to retrieve relevant log entries based on embedded data. An AI language model powered by OpenAI facilitates natural language interactions and analysis of the logs, with the results appended to a Google Sheets document for easy review. The entire process enables autonomous vehicle teams to quickly analyze large logs, identify issues, and maintain comprehensive records for diagnostics and reporting.