Adaptive & Conditional AI Chat Agent
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Automate intelligent customer interactions with an AI Chat Agent that dynamically adapts its response strategy based on query type. This workflow intelligently classifies user input and applies specialized retrieval methods for factual, analytical, opinion, and contextual queries.
About This Workflow
Elevate your customer engagement and internal support with the Adaptive & Conditional AI Chat Agent. This powerful n8n workflow leverages advanced AI capabilities to understand and respond to user queries with remarkable nuance. It goes beyond simple keyword matching by first classifying the intent behind each query into one of four distinct categories: Factual, Analytical, Opinion, or Contextual. Based on this classification, the agent then intelligently deploys a tailored retrieval strategy. This ensures that factual questions are answered with precision, analytical queries are met with comprehensive exploration, opinions are handled with diverse perspectives, and contextual requests are addressed with relevant background information. Built for dynamic, intelligent automation, this agent is a game-changer for efficient information retrieval and customer interaction.
Key Features
- Dynamic Query Classification: Accurately categorizes user input into Factual, Analytical, Opinion, or Contextual.
- Specialized AI Retrieval Strategies: Employs unique AI prompts for each query type to optimize information gathering.
- Precision-Focused Factual Retrieval: Enhances factual queries for highly accurate information retrieval.
- Comprehensive Analytical Breakdown: Generates sub-questions to explore complex analytical queries thoroughly.
- Diverse Opinion Exploration: Identifies and presents multiple viewpoints for opinion-based questions.
- Context-Aware Responses: Infers and utilizes implied context for more relevant interactions.
How To Use
- Import the Workflow: Load this JSON snippet into your n8n instance.
- Connect to Your Data Source (if applicable): Ensure any nodes requiring external data access (e.g., databases, APIs) are correctly configured.
- Configure 'Combined Fields' Node: This node is assumed to be present and should contain the user's query in a field named
user_query. - Review AI Node Prompts: Familiarize yourself with the system messages in the 'Query Classification', 'Factual Strategy', 'Analytical Strategy', 'Opinion Strategy', and 'Contextual Strategy' nodes. Adjust them for specific nuances or branding if necessary.
- Map Outputs: The 'Switch' node directs the flow. Ensure the outputs of the 'Switch' node are correctly linked to the subsequent nodes responsible for executing the chosen strategy.
- Integrate with Your Application: Connect the output of this workflow to your desired user interface or application where the AI agent will interact.
Apps Used
Workflow JSON
{
"id": "eeb7785c-b4fe-4de3-a87f-570cb4b933ed",
"name": "Adaptive & Conditional AI Chat Agent",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: eeb7785c-b4fe...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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