AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 121

Knowledge Base Artificial Inteligence Applications Lambda 121

AWS Machine Learning - AI

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content.

Knowledge Base 124

Knowledge Base Artificial Inteligence Generative AI AWS 124

AWS Machine Learning - AI

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Flexibility to define the workflow based on your business logic. Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure.

Generative AI 115

Generative AI Artificial Inteligence Knowledge Base AWS 115

AWS Machine Learning - AI

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

Knowledge Base 123

Knowledge Base AWS Generative AI Machine Learning 123

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 118

Knowledge Base Artificial Inteligence Analysis AWS 118

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. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

Knowledge Base 139

Knowledge Base Insurance Lambda AWS 139

AWS Machine Learning - AI

NOVEMBER 7, 2024

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index. The following diagram illustrates the workflow of the agent.

Lambda 127

Lambda Enterprise Automotive Knowledge Base 127

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 111

Knowledge Base Artificial Inteligence Programming Generative AI 111

AWS Machine Learning - AI

OCTOBER 31, 2024

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. If you don’t have an existing knowledge base, refer to Create an Amazon Bedrock knowledge base.

Generative AI 121

Generative AI Lambda Applications AWS 121

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. Brijesh specializes in AI/ML solutions and has experience with serverless architectures.

Generative AI 107

Generative AI Technical Review Software Review Systems Review 107

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 104

Generative AI Applications Technical Review Software Review 104

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 109

Generative AI Applications AWS Knowledge Base 109

AWS Machine Learning - AI

AUGUST 28, 2024

The complexity of developing and deploying an end-to-end RAG solution involves several components, including a knowledge base, retrieval system, and generative language model. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

Knowledge Base 92

Knowledge Base AWS Generative AI Machine Learning 92

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 98

Knowledge Base Generative AI Artificial Inteligence Lambda 98

AWS Machine Learning - AI

APRIL 22, 2025

Post-event processing and knowledge base indexing After the event concludes, recorded media and transcriptions are securely stored in Amazon S3 for further analysis. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

Media 73

Media Knowledge Base AWS Systems Review 73

AWS Machine Learning - AI

JANUARY 29, 2025

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents.

Generative AI 128

Generative AI Artificial Inteligence AWS Technical Review 128

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.

Generative AI 87

Generative AI AWS Technical Review Backup 87

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 96

Cloud AWS Serverless Policies 96

AWS Machine Learning - AI

DECEMBER 11, 2024

When Amazon Q Business became generally available in April 2024, we quickly saw an opportunity to simplify our architecture, because the service was designed to meet the needs of our use caseto provide a conversational assistant that could tap into our vast (sales) domain-specific knowledge bases.

AWS 99

AWS Generative AI Technical Review Artificial Inteligence 99

AWS Machine Learning - AI

NOVEMBER 22, 2023

The LLM generated text, and the IR system retrieves relevant information from a knowledge base. We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. An OpenSearch Serverless collection. Store the document embedding in OpenSearch Serverless.

Artificial Inteligence 119

Artificial Inteligence Serverless Engineering Machine Learning 119

AWS Machine Learning - AI

JANUARY 22, 2025

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using AWS tools without having to manage the infrastructure. These filters need to be added and updated manually for each query.

Network 109

Network Artificial Inteligence Machine Learning Serverless 109

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 128

Artificial Inteligence Research Knowledge Base Applications 128

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 86

Serverless Artificial Inteligence AWS Software Review 86

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 chat agent bridges complex information systems and user-friendly communication.

Generative AI 108

Generative AI Systems Review System Lambda 108

AWS Machine Learning - AI

NOVEMBER 6, 2024

Going forward, the team enriched the knowledge base (S3 buckets) and implemented a feedback loop to facilitate continuous improvement of the solution. Oleg Chugaev is a Principal Solutions Architect and Serverless evangelist with 20+ years in IT, holding multiple AWS certifications.

Generative AI 106

Generative AI Government Technical Review Innovation 106

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

SEPTEMBER 26, 2024

Although Amazon Q is a great way to get started with no code for business users, Amazon Bedrock Knowledge Bases offers more flexibility at the API level for generative AI developers; we explore both these solutions in the following sections. How do I keep my generative AI applications up to date with an ever-evolving knowledge base?”

Artificial Inteligence 108

Artificial Inteligence Generative AI Knowledge Base AWS 108

AWS Machine Learning - AI

NOVEMBER 7, 2024

API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 111

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AWS Machine Learning - AI

MAY 13, 2024

It’s serverless, so you don’t have to manage any infrastructure. To implement our RAG system, we utilized a dataset of 95,000 radiology report findings-impressions pairs as the knowledge source. This dataset was uploaded to Amazon Simple Service (Amazon S3) data source and then ingested using Knowledge Bases for Amazon Bedrock.

Generative AI 131

Generative AI Artificial Inteligence Report Healthcare 131

AWS Machine Learning - AI

JANUARY 29, 2025

With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG. Amazon Bedrock Knowledge Bases facilitates data ingestion from various supported data sources; manages data chunking, parsing, and embeddings; and populates the vector store with the embeddings.

Generative AI 85

Generative AI Organization Enterprise Artificial Inteligence 85

AWS Machine Learning - AI

APRIL 9, 2025

The Unsuccessful query responses and Customer feedback metrics help pinpoint gaps in the knowledge base or areas where the system struggles to provide satisfactory answers. About the Authors Guillermo Mansilla is a Senior Solutions Architect based in Orlando, Florida.

Weak Development Team 77

Weak Development Team Metrics AWS Systems Review 77

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 92

Lambda Knowledge Base Generative AI AWS 92

AWS Machine Learning - AI

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

Artificial Inteligence 118

Artificial Inteligence Generative AI Energy Knowledge Base 118

AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock fully manages this experience by connecting to your private data sources, including Amazon Aurora , Amazon OpenSearch Serverless , MongoDB, Pinecone, and Redis Enterprise Cloud. More knowledge base updates can be found in the News Blog. Read more about MemoryDB in the News Blog.

Artificial Inteligence 136

Artificial Inteligence AWS Generative AI Knowledge Base 136

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 94

Generative AI Artificial Inteligence Applications Knowledge Base 94

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 92

Lambda Knowledge Base AWS Generative AI 92

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 79

Generative AI Artificial Inteligence Metrics AWS 79