
QnABot v5.4.0+ now enables generative AI capabilities using LLMs to disambiguate customer questions with conversational context and dynamically generate answers from knowledge bases, FAQs, and Amazon Kendra search results with source attribution.


<div><p>This article introduces generative AI features for QnABot, an open-source conversational chatbot powered by Amazon Lex, enabling dynamic answer generation from knowledge bases.</p><ul><li>QnABot v5.4.0+ generates answers from Amazon Kendra search results and text passages using LLMs</li><li>Disambiguates follow-up questions using conversation context for natural dialogue</li><li>Integrates with Amazon Bedrock or custom LLMs via Lambda functions</li><li>Provides attribution by displaying reference documents and context passages used</li><li>Supports multi-language responses and semantic search using text embeddings</li><li>Tutorial covers deploying Amazon Kendra index, LLM plugin, and configuring QnABot</li><li>Use cases include contact center integration and website chatbot deployment</li></ul><p>QnABot's new generative AI capabilities reduce manual FAQ maintenance while improving customer self-service experiences through dynamic, contextual responses.</p></div>


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