AWS Machine Learning - AI

MARCH 4, 2025

Knowledge base integration Incorporates up-to-date WAFR documentation and cloud best practices using Amazon Bedrock Knowledge Bases , providing accurate and context-aware evaluations. The WAFR reviewer, based on Lambda and AWS Step Functions , is activated by Amazon SQS.

Generative AI 98

Generative AI Technical Review Software Review Systems Review 98

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.

Knowledge Base 112

Knowledge Base Artificial Inteligence Analysis AWS 112

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. The Lambda function performs the actions by calling the JIRA API or database with the required parameters provided from the agent.

Generative AI 98

Generative AI Systems Review System Lambda 98

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 92

Cloud AWS Serverless Policies 92

AWS Machine Learning - AI

AUGUST 5, 2024

Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. As a fully managed service, Knowledge Bases for Amazon Bedrock makes it straightforward to set up a Retrieval Augmented Generation (RAG) workflow. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

Knowledge Base 102

Knowledge Base Artificial Inteligence Programming Generative AI 102

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 104

Generative AI AWS Enterprise Artificial Inteligence 104

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.

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Knowledge Base Generative AI Artificial Inteligence Lambda 93

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 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 78

Generative AI AWS Technical Review Backup 78

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 119

Artificial Inteligence Research Knowledge Base Applications 119

Xebia

MARCH 11, 2025

With the rise of AI, you also need a knowledge base. These knowledge bases can be hosted in OpenSearch. For this reason, I developed a Lambda function that would stop the pipeline when no messages are in the queue. The truth is it is easy, but it all depends on how much you care about the data you are ingesting.

AWS 147

AWS Knowledge Base Lambda Serverless 147

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 89

Lambda Knowledge Base Generative AI AWS 89

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 88

Lambda Knowledge Base AWS Generative AI 88

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 79

Serverless Artificial Inteligence AWS Software Review 79

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 107

Generative AI Artificial Inteligence AWS Applications 107

AWS Machine Learning - AI

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Scaling ground truth generation with a pipeline To automate ground truth generation, we provide a serverless batch pipeline architecture, shown in the following figure.

Generative AI 75

Generative AI Systems Review Software Review Artificial Inteligence 75

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 89

Generative AI Artificial Inteligence Applications Knowledge Base 89

AWS Machine Learning - AI

MARCH 7, 2025

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model.

Generative AI 73

Generative AI Technical Review Insurance Policies 73

AWS Machine Learning - AI

MARCH 20, 2025

Furthermore, by integrating a knowledge base containing organizational data, policies, and domain-specific information, the generative AI models can deliver more contextual, accurate, and relevant insights from the call transcripts.

Generative AI 61

Generative AI Artificial Inteligence Metrics AWS 61

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 99

Media Lambda AWS Video 99

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.

Artificial Inteligence 115

Artificial Inteligence Applications Knowledge Base AWS 115

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

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 99

Generative AI Applications Technical Review Software Review 99

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 104

Knowledge Base Lambda Artificial Inteligence AWS 104

AWS Machine Learning - AI

MARCH 21, 2025

This post presents a comprehensive AIOps solution that combines various AWS services such as Amazon Bedrock , AWS Lambda , and Amazon CloudWatch to create an AI assistant for effective incident management. This solution also uses Amazon Bedrock Knowledge Bases and Amazon Bedrock Agents.

Artificial Inteligence 107

Artificial Inteligence Knowledge Base Generative AI Lambda 107

AWS Machine Learning - AI

FEBRUARY 3, 2025

The frontend posts the file to an application S3 bucket, at which point a file processing flow is initiated through a triggered AWS Lambda. The knowledge base sync process handles chunking and embedding of the transcript, and storing embedding vectors and file metadata in an Amazon OpenSearch Serverless vector database.

Knowledge Base 88

Knowledge Base Artificial Inteligence Video UI/UX 88

AWS Machine Learning - AI

MARCH 21, 2025

This enables the efficient processing of content, including scientific formulas and data visualizations, and the population of Amazon Bedrock Knowledge Bases with appropriate metadata. Create an Amazon Bedrock knowledge base. We use Amazon S3 to store sample documents that are used in this solution. md.metadata.json" s3.upload_file(metadata_file,

Knowledge Base 99

Knowledge Base Generative AI AWS Lambda 99

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 94

Enterprise Artificial Inteligence Data Knowledge Base 94

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 97

Software Review Lambda Generative AI Artificial Inteligence 97

AWS Machine Learning - AI

JANUARY 9, 2025

The knowledge base contains loan-related documents to respond to loan-related queries. The loan handler AWS Lambda function uses the information in the KYC documents to check the credit score and internal risk score. The notification Lambda function emails information about the loan application to the customer.

AWS 107

AWS Knowledge Base Generative AI Lambda 107

AWS Machine Learning - AI

JANUARY 24, 2025

Application controller layer (LLM orchestrator Lambda function) The application controller layer is usually vulnerable to risks such as LLM01:2025 Prompt Injection, LLM05:2025 Improper Output Handling, and LLM 02:2025 Sensitive Information Disclosure.

Generative AI 98

Generative AI Artificial Inteligence Lambda AWS 98

AWS Machine Learning - AI

MARCH 31, 2025

Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases as native CrewAI Tools Amazon Bedrock Agents offers you the ability to build and configure autonomous agents in a fully managed and serverless manner on Amazon Bedrock. You dont have to provision capacity, manage infrastructure, or write custom code.

Systems Review 137

Systems Review System Artificial Inteligence Software Review 137

AWS Machine Learning - AI

JANUARY 15, 2025

Based on the customer query and context, the system dynamically generates text-to-SQL queries, summarizes knowledge base results using semantic search , and creates personalized vehicle brochures based on the customers preferences. The following figure depicts the technical flow of the solution.

Automotive 83

Automotive Artificial Inteligence AWS Technical Review 83

AWS Machine Learning - AI

JANUARY 7, 2025

By seamlessly integrating foundation models (FMs), prompts, agents, and knowledge bases, organizations can rapidly develop flexible, efficient AI-driven processes tailored to their specific business needs. Experimentation framework The ability to test and compare different prompt variations while maintaining version control.

Technical Review 96

Technical Review Artificial Inteligence Generative AI AWS 96