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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

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. The following diagram illustrates the solution architecture. You then display the top similar results.

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5 Architecture Choices Technology Executives Must Consider

Progress

As technology changes, learn how you can take advantage of the latest innovations and modernize legacy monoliths into agile, cloud-native architectures. The architecture of your application is critically important—it’s the foundation upon which current initiatives and future innovation depend.

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An AWS & Stackery Webinar You Won’t Want to Miss

Stackery

We’re thrilled to share that registration is officially open for a fantastic April webinar from AWS and Stackery. This is your chance to hear the firsthand story of serverless application modernization from telecom quoting company, MasterStream ERP. Webinar Details. Date: Apr 22, 2020. Time: 10:00 AM PDT. Register Today!

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Surveys Show Kubernetes Crossing the Chasm

d2iq

2013, Google replaced Borg with Omega, a flexible and scalable scheduler for large computing clusters. In a webinar hosted by D2iQ , Forrester Research Principal Analyst Lee Sustar described the key role the cloud has played in making AI capabilities more accessible to a larger number of organizations.

Survey 87
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. The OpenSearch Serverless collection. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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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. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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How to Create Microservices-based Applications for AWS

TIBCO - Connected Intelligence

If you aren’t able to rapidly adapt the services and capabilities of your digital platform to stay aligned with the needs of the business, then your underlying application architecture needs to be evolved so that it becomes more agile. One way to build this agility is by evolving to a microservices architecture. Click To Tweet.