Intelligent Chat with Multiple Data Sources Using AI Agents
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Workflow Description
Automation that integrates an intelligent agent to converse with multiple data sources including Twitter and Hacker News, leveraging OpenAI models to answer user queries with real-time information.
How it works
- 1.Initiate manual chat and receive user question
- 2.Retrieve data from external sources such as Hacker News and Twitter
- 3.Process the query through the AI agent and search across data sources
- 4.Send the results to OpenAI for generating a comprehensive response
- 5.Return the answer to the user through the chat interface
Use cases
- Build a smart assistant that answers questions using latest news and social media posts
- Create an intelligent search engine combining data from multiple platforms
- Develop an auto-response system that reads from live data sources
Requirements
- OpenAI API key
- Access to Twitter and Hacker News APIs
- Basic coding knowledge to customize agent behavior
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)
On new manual Chat Message
Manual Chat Trigger
Execute Workflow Trigger
Execute Workflow Trigger
Hacker News
Hacker News
Clean up data
Set
AI Agent
Agent
OpenAI Chat Model
OpenAI
Stringify
Code
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Custom tool to call the wf below
Tool Workflow
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