Dynamic AI Chatbot for Content Discovery & Support
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This n8n workflow creates an intelligent, AI-powered chatbot capable of dynamic content discovery and customer support. It leverages an LLM router to direct user queries to specialized agents, provides real-time blog article search and recommendations, and maintains conversational context for a seamless user experience.
About This Workflow
This sophisticated workflow transforms how you interact with your audience by deploying a multi-functional AI chatbot. At its core, an LLM Router intelligently classifies incoming chat messages, directing them to specialized agents like the Greeting Agent, Articles Agent, Post Recommendation Agent, or a robust fallback agent for unexpected inputs. It integrates directly with external blog platforms via HTTP Request nodes to search for and retrieve relevant articles, even scraping specific WordPress posts for detailed Q&A using a Retrieval-Augmented Generation (RAG) chain. Powered by Mistral Cloud Chat Models and equipped with Window Buffer Memory, this chatbot provides context-aware responses and personalized content recommendations, significantly enhancing user engagement and support capabilities.
Key Features
- Intelligent LLM-powered Routing: Dynamically directs chat queries to the most appropriate AI agent based on user intent.
- Multi-Agent Architecture: Features specialized agents for greetings, article search, post recommendations, and handling unexpected situations.
- Dynamic Content Retrieval: Searches and scrapes blog posts in real-time to provide up-to-date information and recommendations.
- Conversational Memory: Maintains context across interactions using
Window Buffer Memoryfor a personalized chat experience. - Retrieval-Augmented Generation (RAG): Answers specific questions by retrieving and processing information from external knowledge sources like your blog.
How To Use
- Trigger Setup: Configure the
When chat message receivednode with your desired chat platform's webhook. - LLM Integration: Provide API keys for the
Mistral Cloud Chat Modelnodes used by your agents. - Router Configuration: Customize the
LLM Routerto define intents and link them to specific agents for accurate message classification. - Blog API Connection: Adjust the
Search blogandScrape single WordPress postHTTP Requestnodes with your blog's API endpoints and authentication. - Agent Customization: Modify the prompts and tools within the
Greeting Agent,Articles agent,Post Recommendation Agent, andWriter Agentto align with your specific content and brand voice. - Memory Management: Configure the
Window Buffer Memoryto set the desired length of conversational history.
Apps Used
Workflow JSON
{
"id": "97ce9587-9350-436d-965e-31d0df22f0b1",
"name": "Dynamic AI Chatbot for Content Discovery & Support",
"nodes": 21,
"category": "Marketing",
"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: 97ce9587-9350...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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