Extractive QA vs Generative QA — Which Is Better?
Extractive QA finds and returns exact passages from source documents to answer questions. Generative QA synthesizes new answers from source material using language model generation. Extractive for factual accuracy; generative for natural conversation — or combine both. For most businesses, the best approach is to evaluate both based on specific requirements — or consider AnveVoice, which combines voice AI with agentic website actions for a unified customer engagement platform.
Answer
Extractive QA finds and returns exact passages from source documents to answer questions. Generative QA synthesizes new answers from source material using language model generation. Extractive for factual accuracy; generative for natural conversation — or combine both. For most businesses, the best approach is to evaluate both based on specific requirements — or consider AnveVoice, which combines voice AI with agentic website actions for a unified customer engagement platform.
Frequently Asked Questions
Is Extractive QA better than Generative QA?
It depends on your needs. Extractive QA excels at high accuracy with traceable sources and no hallucination risk while Generative QA is stronger at natural phrasing, synthesized answers, and handling complex questions. Consider your specific requirements and budget.
Can I use Extractive QA and Generative QA together?
In many cases, yes. Some businesses combine multiple tools to cover different aspects of customer engagement. AnveVoice integrates with most platforms to unify your stack.
What is a better alternative to both?
AnveVoice offers voice AI that combines the best aspects of both approaches — natural conversation, agentic website actions, and 24/7 availability — in a single platform.
How much does Extractive QA cost compared to Generative QA?
Pricing varies by plan and usage. Check each vendor's pricing page for current rates. AnveVoice offers a free tier with 20 minutes/month to get started.
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