Dzone - DevOps

JULY 1, 2024

In this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application composed of the following components: Knowledge Bases for Amazon Bedrock : This is the foundation for the RAG solution. An S3 bucket: This will act as the data source for the Knowledge Base.

Generative AI 95

Generative AI Construction AWS Knowledge Base 95

AWS Machine Learning - AI

NOVEMBER 27, 2024

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application using Amazon Web Services (AWS) tools without having to manage any infrastructure. This gives your agent access to required services, such as Lambda.

Software Review 102

Software Review Lambda Generative AI Artificial Inteligence 102

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 121

Artificial Inteligence Research Knowledge Base Applications 121

AWS Machine Learning - AI

NOVEMBER 27, 2024

The RDF is converted into text and loaded into an S3 bucket, which is accessed by Amazon Bedrock (4) as the source of the knowledge base. A state machine in AWS Step Functions defines the workflow of the ingestion process by invoking AWS Lambda functions, as illustrated in the following figure. raw_customer".

Enterprise 100

Enterprise Artificial Inteligence Data Knowledge Base 100

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. The solution’s scalability quickly accommodates growing data volumes and user queries thanks to AWS serverless offerings.

Lambda 94

Lambda Knowledge Base Generative AI AWS 94

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. However, some components may incur additional usage-based costs.

Generative AI 108

Generative AI Applications AWS Knowledge Base 108

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. Choose Create knowledge base and enter a name and optional description.

Lambda 93

Lambda Knowledge Base AWS Generative AI 93

AWS Machine Learning - AI

OCTOBER 1, 2024

Voice-based assistants like Alexa demonstrate how we are entering an era of conversational interfaces. We explore how to build a fully serverless, voice-based contextual chatbot tailored for individuals who need it. All the services that we use are serverless and fully managed by AWS. We discuss this later in the post.

Serverless 84

Serverless Artificial Inteligence AWS Software Review 84

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 built the RAG solution as detailed in the following GitHub repo and used SageMaker documentation as the knowledge base.

Generative AI 113

Generative AI Artificial Inteligence AWS Applications 113

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 93

Generative AI Artificial Inteligence Applications Knowledge Base 93

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.

Cloud 97

Cloud AWS Serverless Lambda 97

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. API Gateway is serverless and hence automatically scales with traffic. It’s serverless so you don’t have to manage the infrastructure. This implementation overcomes timeout limitations in synchronous REST requests.

Generative AI 111

Generative AI AWS Artificial Inteligence Enterprise 111

AWS Machine Learning - AI

NOVEMBER 22, 2024

Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. sync) pattern, which automatically waits for the completion of asynchronous jobs.

Generative AI 82

Generative AI AWS Technical Review Backup 82

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 106

Media Lambda AWS Video 106

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. Download press releases to use as our external knowledge base. Query the knowledge base. Deploy an embedding model from the Amazon SageMaker JumpStart hub.

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Artificial Inteligence Applications Knowledge Base AWS 122

Cloud Conformity

MARCH 1, 2019

The framework underpins our entire platform and forms our Knowledge Base to ensure your cloud infrastructure is the most resilient, secure and efficient for your needs. Serverless architecture can be a great win for this pillar, as can the use of AWS Lambda and AWS CloudFront to reduce latency.

AWS 40

AWS Cloud Software Review Infrastructure 40

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. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base. Choose your new knowledge base to open it.

Knowledge Base 96

Knowledge Base Generative AI Artificial Inteligence Lambda 96

AWS Machine Learning - AI

DECEMBER 4, 2024

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

Generative AI 103

Generative AI Applications Technical Review Software Review 103

AWS Machine Learning - AI

NOVEMBER 20, 2024

The combination of retrieval augmented generation (RAG) and knowledge bases enhances automated response accuracy. The combination of retrieval-based and generation-based models in RAG allows for accessing databases and generating accurate and contextually relevant responses.

Knowledge Base 110

Knowledge Base Lambda Artificial Inteligence AWS 110