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Build cost-effective RAG applications with Binary Embeddings in Amazon Titan Text Embeddings V2, Amazon OpenSearch Serverless, and Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. The OpenSearch Serverless kNN plugin now supports 16-bit (FP16) and binary vectors, in addition to 32-bit floating point vectors (FP32). without reranking).

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. For details on all the fields and providing configuration of various vector stores supported by Knowledge Bases for Amazon Bedrock, refer to AWS::Bedrock::KnowledgeBase.

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Serverless and Edge Runtime

Apiumhub

This is the introductory post in a two-part series, exploring the world of Serverless and Edge Runtime. The main focus of this post will be Serverless, while the second one will focus on an alternative, newer approach in the form of Edge Computing. Scalability Of course, going serverless is not only for small projects.

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Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning - AI

However, by using various AWS services, you can quickly deploy a serverless solution to edit images. Amazon Bedrock is serverless, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure.

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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning - AI

We explore how to build a fully serverless, voice-based contextual chatbot tailored for individuals who need it. The aim of this post is to provide a comprehensive understanding of how to build a voice-based, contextual chatbot that uses the latest advancements in AI and serverless computing. We discuss this later in the post.

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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. While serverless brings immense benefits to businesses, it’s important not to rush into it.