Use Cases
- Automating the annotation of ADAS event data for improved accuracy.
- Integrating AI-driven insights into data management workflows.
- Storing and retrieving annotated data efficiently using vector databases.
How It Works
Webhook captures incoming ADAS event data. Data is split into chunks for easier processing. Chunks are embedded using Cohere's language model. Embeddings are stored in Supabase for efficient querying. Memory component maintains context for ongoing interactions. Results are logged in Google Sheets for reporting.
Setup Steps
- 1Import the ADAS Event Annotator workflow template.
- 2Configure the webhook to receive data.
- 3Set up credentials for Cohere and Supabase.
- 4Adjust parameters for the Splitter and Embeddings nodes as needed.
- 5Test the workflow to ensure data flows correctly.
Apps Used
Google Sheets
Cohere
Supabase
OpenAI
Categories
Target Roles
Industries
Tags
#ai content generation
#process automation
#workflow management