Use Cases
- Customer support automation with real-time data retrieval
- Research assistance by providing instant answers from web content
- Data analysis through live content scraping for informed decision-making
- Enhanced user engagement in chat applications with accurate responses
How It Works
Triggers when a chat message is received from the user Processes the input through an AI agent to determine the required information Scrapes real-time data from user-provided URLs using a web scraping tool Generates responses using a language model based on the scraped content Maintains conversational context for improved user interaction
Setup Steps
- 1Import the workflow template into your n8n environment
- 2Configure the OpenAI credentials for language model access
- 3Test the chat trigger to ensure it receives messages correctly
- 4Provide a URL and user question to initiate the scraping process
- 5Review and adjust any parameters as needed for optimal performance
Apps Used
OpenAI
Jina.ai
Chat applications
Categories
Tags
#ai chatbots
#ai content generation
#process automation