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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning - AI

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. An Amazon OpenSearch Serverless collection.

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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

By switching to serverless, you pay for the usage. The prefix Joris makes it unique and provides information about who owns and created the resource. Simple: In the example, we needed an RDS instance. If you create an RDS instance per stack, you will have multiple instances and must pay per RDS instance, driving up the cost.

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Serverless Computing: Taking DevOps to the Next Level

DevOps.com

Serverless computing enables you to outsource information, thus freeing teams to focus on front-end work. Organizations choose serverless when they look for faster and easier ways to release updates and patches. DevOps teams often use serverless when they are looking to automate infrastructure tasks.

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Rotating secrets with serverless

Xebia

In this article we are going to explore how we can use a serverless approach to automate the secret rotation process, avoiding having to ever endure one of these arduous events again! In order to translate this into our serverless function we will need to do this process via code. To do this we simply create a Cloudwatch Event Rule.

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Netlify Functions - for an unrivaled serverless workflow

Netlify

At Netlify, we believe that serverless functions have a huge part to play in supporting the development of modern web applications. We want you to enjoy all the same powerful workflows and abilities when building with serverless functions, as with the rest of your application. Provision them as serverless functions.

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Invest in AI search as an enterprise business asset

CIO

As data volumes continue to grow, employees and customers are increasingly challenged to find the information they want. [ii] ii] Various studies have found that employees spend between 20% and 30% of their time looking for information. Thats despite the fact that search is a function knowledge workers use every day.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. For more information, see Creating a bucket.