question-answering

To get concise factual responses, you can ask direct informational questions. The system retrieves relevant knowledge from context to formulate clear answers, such as responding with "Paris" when asked for the capital of France.

Yes, conversational context is used to interpret follow-up questions. The system understands intent within the provided conversation history, allowing it to accurately answer related inquiries without requiring you to repeat background information.

If your question lacks detail for an accurate factual response, the system asks clarification questions. It requests follow-up information from the user to ensure better understanding before attempting to retrieve knowledge and generate a final answer.

Yes, the system admits uncertainty when it cannot retrieve factual answers. It validates accuracy during the formulation process and explicitly acknowledges when necessary rather than guessing or providing potentially incorrect information.

Supported queries for retrieving knowledge include factual, conceptual, and how-to questions. The system provides structured answers with examples to accurately address these different types of informational requests.

Yes, question-answering is suitable for conceptual and how-to queries. It understands user intent and formulates clear responses with structured examples, effectively handling both complex conceptual explanations and step-oriented factual inquiries.