Use Cases
- Automatically generate property descriptions for real estate listings.
- Enhance marketing materials with AI-generated content.
- Log property descriptions for easy tracking and management.
How It Works
Webhook receives user input for property details. Text splitter processes input into smaller chunks. Embeddings are created from the chunks for better context. Embeddings are stored in a vector database for future queries. Users can query the database for relevant property information. Generated descriptions are logged into Google Sheets.
Setup Steps
- 1Import the Property Description Generator workflow.
- 2Configure the webhook to receive property details.
- 3Set up the text splitter parameters as needed.
- 4Connect Hugging Face credentials for embeddings.
- 5Configure Supabase settings for data storage.
- 6Set up Google Sheets for logging outputs.
Apps Used
Google Sheets
Hugging Face
Supabase
Categories
Target Roles
Industries
Tags
#ai content generation
#workflow management
#document automation