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🎬Video•30 min

Question-Answering Systems

Build systems that can answer questions from documents and knowledge bases.

Question-Answering Systems

QA System Types

1. Extractive QA Find and extract answer from text.

2. Generative QA Generate answer based on context.

3. Open-Domain QA Answer any question (uses retrieval).

4. Closed-Domain QA Answer within specific domain.

Building a QA Pipeline

1. Question Understanding - Parse the question - Identify key entities and intent

2. Context Retrieval - Find relevant documents - Rank by relevance

3. Answer Generation - Generate answer from context - Cite sources

4. Answer Validation - Check for hallucination - Verify against source

Handling "I Don't Know"

Critical for trustworthy QA:

  • Detect when answer isn't in context
  • Admit uncertainty
  • Suggest alternatives
  • Prompt Template

    "Based on the following context, answer the question. If the answer is not in the context, say 'I don't have information about that.'

    Context: [CONTEXT] Question: [QUESTION] Answer:"

    🎯 Key Takeaways

    • ✓Combine retrieval with generation for QA
    • ✓Teach models to say "I don't know"
    • ✓Validate answers against source material
    • ✓Cite sources for transparency

    📚 Additional Resources