AWS Database System Architecture 
AWS Machine Learning Blog
OCTOBER 14, 2024
In this post, we show how to create a multimodal chat assistant on Amazon Web Services (AWS) using Amazon Bedrock models, where users can submit images and questions, and text responses will be sourced from a closed set of proprietary documents. For this post, we recommend activating these models in the us-east-1 or us-west-2 AWS Region.
AWS Machine Learning Blog
MARCH 10, 2025
We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.
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AWS Machine Learning Blog
FEBRUARY 13, 2025
AWS Lambda functions for executing specific actions (such as submitting vacation requests or expense reports). To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram. Maira Ladeira Tanke is a Senior Generative AI Data Scientist at AWS.
AWS Machine Learning Blog
NOVEMBER 24, 2023
This solution is available in the AWS Solutions Library. The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing.
DECEMBER 6, 2023
needed to address some of these challenges in one of their many AI use cases built on AWS. During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. Based on the initial tests, this method showed great results.
Pickl AI
DECEMBER 10, 2024
Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. These cutting-edge solutions optimise analytics, middleware, and database performance , enabling businesses to achieve unparalleled efficiency and scalability.
The MLOps Blog
MARCH 12, 2024
Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Models are part of chains and agents, supported by specialized tools like vector databases.
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