Examples of Tavily search, web page extraction and AI summarization
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Workflow Description
An automated workflow that receives messages through a chat trigger, processes them using an LLM chain connected to OpenAI, and generates intelligent responses. The system interprets user input and delivers context-aware answers in real time.
How it works
- 1.Receive incoming message via chat trigger
- 2.Pass message to LLM chain configured with OpenAI
- 3.Process request through language model
- 4.Generate contextual response
- 5.Deliver reply back through chat interface
Use cases
- Build a customer support chatbot that handles inquiries automatically
- Create a specialized AI agent that understands domain-specific questions and provides tailored answers
Requirements
- Valid OpenAI API key
- Properly configured chat trigger endpoint
- Understanding of LLM chain configuration and parameters
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (8)
Sticky Note1
Sticky Note
Sticky Note
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Get Top Result
Set
Tavily Extract Top Search
HTTP Request
Filter > 90%
Set
Tavily Search Topic
HTTP Request
OpenAI Chat Model
OpenAI
Summarize Web Page Content
LLM Chain
Sticky Note5
Sticky Note
Tavily API Key
Set
Provide search topic via Chat window
Chat Trigger
Sticky Note6
Sticky Note
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