Customer Support Bot

This example demonstrates how to build a customer support bot that can handle inquiries, route conversations to appropriate workflows, and provide intelligent responses using AI.

Example Workflow

Here's an example of a customer support workflow that handles various customer inquiries:

Key Features

• Intent Classification: Automatically categorize customer inquiries (billing, technical support, general questions, etc.)
• Intelligent Routing: Route conversations to specialized workflow branches based on intent
• Knowledge Base Integration: Retrieve relevant information from your knowledge base to provide accurate answers
• Multi-Step Processing: Handle complex queries that require multiple processing stages
• Context-Aware Responses: Use language models to generate personalized, context-aware responses

Workflow Components

1. QueryNode: Captures customer inquiries and questions
2. IntentClassificationNode: Analyzes the query to determine the customer's intent
3. ConditionalNode: Routes the conversation to different branches based on intent classification
4. KnowledgeBaseRetrievalNode: Retrieves relevant information from your knowledge base
5. LanguageModelNode: Generates intelligent responses using the retrieved context
6. ResponseNode: Returns the final response to the customer

Use Cases

• Handle common customer questions 24/7
• Route complex issues to appropriate departments
• Provide instant answers from your documentation
• Escalate issues that require human intervention
• Track and analyze customer inquiry patterns

Configuration Tips

Intent Classification Setup:
  - Configure intent categories (billing, support, sales, etc.)
  - Set confidence thresholds for routing decisions
  - Define fallback behavior for unclear intents

Knowledge Base Configuration:
  - Connect your vector database
  - Set retrieval parameters (top_k, similarity threshold)
  - Configure chunking and embedding strategies

Language Model Settings:
  - Use appropriate system prompts for customer support
  - Set temperature for consistent responses
  - Configure max tokens for response length