AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. The primary agent can also consult attached knowledge bases or trigger action groups before or after subagent involvement.

Real Estate 91

Real Estate Artificial Inteligence Knowledge Base Lambda 91

AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. The following diagram illustrates the solution architecture. The following are some example prompts: Create a new claim.

Knowledge Base 140

Knowledge Base Insurance Lambda AWS 140

AWS Machine Learning - AI

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents. versions, catering to different programming preferences.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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Knowledge Base Artificial Inteligence Analysis AWS 119

AWS Machine Learning - AI

DECEMBER 4, 2024

The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE. Solution architecture The architecture in the preceding figure shows how Amazon Bedrock IDE orchestrates the data flow.

Generative AI 106

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AWS Machine Learning - AI

MARCH 20, 2025

It integrates with existing applications and includes key Amazon Bedrock features like foundation models (FMs), prompts, knowledge bases, agents, flows, evaluation, and guardrails. Before we dive deep into the deployment of the AI agent, lets walk through the key steps of the architecture, as shown in the following diagram.

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AWS Machine Learning - AI

APRIL 22, 2025

Seamless live stream acquisition The solution begins with an IP-enabled camera capturing the live event feed, as shown in the following section of the architecture diagram. Post-event processing and knowledge base indexing After the event concludes, recorded media and transcriptions are securely stored in Amazon S3 for further analysis.

Media 82

Media Knowledge Base AWS Systems Review 82

AWS Machine Learning - AI

APRIL 1, 2025

Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server.

Generative AI 134

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AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. These data sources provide contextual information and serve as a knowledge base for the LLM.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

AWS Machine Learning - AI

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

Generative AI 142

Generative AI AWS Artificial Inteligence Budget 142

AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. Solution overview Before we explore the deployment process, let’s walk through the key steps of the architecture as illustrated in Figure 1.

Software Review 138

Software Review Infrastructure Lambda Generative AI 138

AWS Machine Learning - AI

SEPTEMBER 24, 2024

It’s a fully serverless architecture that uses Amazon OpenSearch Serverless , which can run petabyte-scale workloads, without you having to manage the underlying infrastructure. The following diagram illustrates the solution architecture. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 101

Knowledge Base Generative AI Artificial Inteligence Lambda 101

AWS Machine Learning - AI

APRIL 18, 2024

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

AWS 129

AWS Applications Lambda Knowledge Base 129

AWS Machine Learning - AI

OCTOBER 11, 2024

The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. It has several key components.

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Cloud AWS Serverless Policies 97

AWS Machine Learning - AI

FEBRUARY 25, 2025

Solution overview Before we dive into the deployment process, lets walk through the key steps of the architecture as illustrated in the following figure. This function invokes another Lambda function (see the following Lambda function code ) which retrieves the latest error message from the specified Terraform Cloud workspace.

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Lambda Generative AI AWS Software Review 65

AWS Machine Learning - AI

APRIL 24, 2024

It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This is based on the instructions that are interpreted by the assistant as per the system prompt and user’s input. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 137

Artificial Inteligence Lambda Knowledge Base IoT 137

AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index.

Artificial Inteligence 126

Artificial Inteligence Generative AI Knowledge Base Lambda 126

AWS Machine Learning - AI

JUNE 26, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to build specialized agents and AI-powered assistants that run actions based on natural language input prompts and your organization’s data. Both the action groups and knowledge base are optional and not required for the agent itself.

Artificial Inteligence 135

Artificial Inteligence Research Knowledge Base Applications 135

AWS Machine Learning - AI

MARCH 20, 2025

Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly. This is powered by the web app portion of the architecture diagram (provided in the next section).

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

AWS Machine Learning - AI

MAY 14, 2024

The entire conversation in this use case, starting with generative AI and then bringing in human agents who take over, is logged so that the interaction can be used as part of the knowledge base. We also have another expert group providing feedback using Amazon SageMaker GroundTruth on completion quality for the RLHF based training.

Generative AI 121

Generative AI Artificial Inteligence AWS Applications 121

AWS Machine Learning - AI

OCTOBER 15, 2024

By using Amazon Bedrock Agents , action groups , and Amazon Bedrock Knowledge Bases , we demonstrate how to build a migration assistant application that rapidly generates migration plans, R-dispositions, and cost estimates for applications migrating to AWS.

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Lambda Knowledge Base AWS Generative AI 93

CIO

APRIL 25, 2023

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). GPT stands for generative pre-trained transformer.

Generative AI 174

Generative AI ChatGPT Artificial Inteligence Artificial Intelligence 174

AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components. Connect with him on LinkedIn.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

AWS Machine Learning - AI

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

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Lambda Knowledge Base AWS Generative AI 93

AWS Machine Learning - AI

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels.

Generative AI 126

Generative AI Lambda AWS Technical Review 126

AWS Machine Learning - AI

OCTOBER 24, 2024

They use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide a final response to the end user. We use Amazon Bedrock Agents with two knowledge bases for this assistant.

Generative AI 97

Generative AI Artificial Inteligence Applications Knowledge Base 97

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. Then we introduce you to a more versatile architecture that overcomes these limitations.

Artificial Inteligence 126

Artificial Inteligence Analytics Knowledge Base Lambda 126

AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. With just a few configuration steps, you can dramatically expand your chatbot’s knowledge base and capabilities, all while maintaining a streamlined UI.

Generative AI 106

Generative AI Lambda Applications AWS 106

AWS Machine Learning - AI

OCTOBER 7, 2024

By harnessing the power of generative AI and Amazon Web Services (AWS) services Amazon Bedrock , Amazon Kendra , and Amazon Lex , this solution provides a sample architecture to build an intelligent Slack chat assistant that can streamline information access, enhance user experiences, and drive productivity and efficiency within organizations.

Generative AI 105

Generative AI Artificial Inteligence AWS Lambda 105

AWS Machine Learning - AI

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. The following diagram illustrates the solution architecture. User authentication and authorization is done using Amazon Cognito.

Generative AI 128

Generative AI Healthcare Artificial Inteligence Insurance 128

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

Generative AI 76

Generative AI Systems Review Software Review Artificial Inteligence 76

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

Artificial Inteligence 132

Artificial Inteligence Meeting AWS Generative AI 132

AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. We carefully choose models based on their specific capabilities and the requirements of each summary section.

Generative AI 128

Generative AI AWS Artificial Inteligence Technical Review 128

AWS Machine Learning - AI

JULY 30, 2024

Mediasearch Q Business supercharges the way you consume media files by using them as part of the knowledge base used by Amazon Q Business to generate reliable answers to user questions. Mediasearch Q Business builds on the Mediasearch solution powered by Amazon Kendra and enhances the search experience using Amazon Q Business.

Media 115

Media Lambda AWS Video 115

AWS Machine Learning - AI

SEPTEMBER 13, 2024

This could be Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda , AWS SDK , Amazon SageMaker notebooks, or your workstation if you are doing a quick proof of concept. The following diagram illustrates the solution architecture. For the purpose of this post, this code is running on a t3a.micro EC2 instance with Amazon Linux 2023.

Generative AI 101

Generative AI AWS Technical Review Artificial Inteligence 101

AWS Machine Learning - AI

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Solution overview In this post, we demonstrate how to create a RAG-based application using LlamaIndex and an LLM. Download press releases to use as our external knowledge base.

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Artificial Inteligence Applications Knowledge Base AWS 121