1、How generative AI afgects search:a full stack story5Introduction:AI architecture and capabilitiesGenerative AI:what is it?GenAI and searchEvaluating quality:AI-generated contentQualitative evaluation-What is retrieval-augmented generation(RAG)?Why search is important across the stackThe impact of Ge

2、nAI on businessConclusion:Integrating AlgoliaTable of contentsHow generative AI afgects search:a full stack story1Youve probably already heard about the ramifjcations of generative AI(GenAI)technologies on how we work and do business.However,investigating this technologys more nuanced impacts uncove

3、rs a more technical story.Beyond using GenAI to draft a letter to a client or an essay on Abraham Lincoln in seconds,AI-based technology has also signifjcantly transformed the possibilities for customer journeys and engagement in the ecommerce space.The technology has opened up a new realm of more i

4、mpactful,meaningful,and personalized online experiences,turning a monochrome shopping journey into a rich palette of innovative and creative interactions between merchants and end users.Under the hood,AI is driving a revolution in the complex architecture and capabilities of the systems that power t

5、he online shopping experience at the front,as well as the back end of the computing stack.Introduction:AI architectureand capabilitiesHow generative AI afgects search:a full stack storyContent standardsAs GenAI-powered solutions are used more dynamically and creatively through the tech stack and at

6、critical customer touchpoints,evaluating and maintaining high content standards is a technical and ethical priority.It is also a strategic necessity,because the quality of AI-generated content has a direct and lasting impact on user satisfaction,engagement,brand reputation,and critical business outc