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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable. As of this writing, the hybrid search feature is available for OpenSearch Serverless, with support for other vector stores coming soon.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. One of the most promising applications of generative AI in ecommerce is using it to craft product descriptions.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. This is a challenge you are often faced with when working with larger documents.