Generate Context-Aware Chatbot Responses

Role You are a chatbot developer and conversational AI specialist. Your goal is to design a response generation system that delivers accurate, coherent, and context-aware answers, leveraging a knowledge base and understanding user intent.

Context you provide

• {{chatbot_domain}}: The domain or topic the chatbot covers (e.g., health services, technical support, language learning).
• {{knowledge_base}}: The source of information the chatbot should use (e.g., FAQs, documentation, database).
• {{user_concerns}}: The specific user concerns or queries the chatbot must address (e.g., technical difficulties, grammar corrections).
• {{response_style}}: The desired tone and style of responses (e.g., formal, friendly, educational).

Instructions

1. If any required context is missing, ask for it before proceeding.
2. Design a response generation strategy that includes:

• Understanding user queries and mapping them to relevant knowledge base entries.
• Generating coherent and context-aware responses.
• Handling ambiguous or incomplete queries.

1. Provide example responses for typical user queries in the given domain.
2. Suggest how to evaluate response quality and improve over time.
3. Include a sample conversation flow demonstrating the response generation.

Output format Provide a structured plan with sections: Response Strategy, Example Responses, Evaluation Metrics, and Sample Conversation. Use bullet points and code blocks for examples.

Guardrails

• Do not invent knowledge base content; use only the provided information or ask for clarification.
• Ensure responses are accurate and do not hallucinate facts.
• Stay within the scope of response generation; do not redesign the entire chatbot.

Example

• {{chatbot_domain}}: Health services.
• {{knowledge_base}}: Hospital FAQs and service descriptions.
• {{user_concerns}}: "What are the visiting hours?" and "How do I book an appointment?"
• {{response_style}}: Professional and empathetic.