Data processing and summarization for autonomous vehicle logs

• Summarizing large volumes of autonomous vehicle log data for analysis.
• Integrating AI capabilities to enhance data insights from vehicle logs.
• Storing processed log summaries in Google Sheets for easy access and reporting.

Webhook receives log data from autonomous vehicles. Data is split into manageable chunks for processing. Each chunk is embedded using AI models for better understanding. Processed data is inserted into a vector store for efficient querying. Users can query the vector store to retrieve relevant insights. Final summaries are stored in Google Sheets for reporting and analysis.

1. 1
   Import the Autonomous Vehicle Log Summarizer workflow template.
2. 2
   Configure the Webhook node to receive log data.
3. 3
   Set up credentials for Hugging Face and Weaviate.
4. 4
   Connect Google Sheets to store the summarized logs.
5. 5
   Test the workflow to ensure data flows correctly through each node.