AWS Machine Learning - AI

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

Knowledge Base 118

Knowledge Base Scalability Applications Generative AI 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 133

Knowledge Base Insurance Lambda AWS 133

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 109

Knowledge Base Artificial Inteligence Analysis AWS 109

AWS Machine Learning - AI

MAY 31, 2024

However, if you want to use an FM to answer questions about your private data that you have stored in your Amazon Simple Storage Service (Amazon S3) bucket, you need to use a technique known as Retrieval Augmented Generation (RAG) to provide relevant answers for your customers. The following diagram depicts a high-level RAG architecture.

Knowledge Base 121

Knowledge Base Artificial Inteligence AWS Serverless 121

AWS Machine Learning - AI

NOVEMBER 7, 2024

Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information. The following diagram illustrates the workflow of the agent.

Lambda 117

Lambda Enterprise Automotive Knowledge Base 117

AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

Knowledge Base 117

Knowledge Base Artificial Inteligence Lambda Authentication 117

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. Create new generative AI-powered intent in Amazon Lex using the built-in QnAIntent and point the knowledge base.

Knowledge Base 114

Knowledge Base Artificial Inteligence Generative AI AWS 114

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. Choose Sync to initiate the data ingestion job.

Knowledge Base 115

Knowledge Base AWS Generative AI Artificial Inteligence 115

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 110

Knowledge Base Artificial Inteligence Applications Lambda 110

AWS Machine Learning - AI

AUGUST 5, 2024

In this solution, audio files stored in mp3 format are first uploaded to Amazon Simple Storage Service (Amazon S3) storage. Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

Knowledge Base 98

Knowledge Base Artificial Inteligence Programming Generative AI 98

AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

Knowledge Base 123

Knowledge Base Artificial Inteligence Lambda Applications 123

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 96

Generative AI Applications Technical Review Software Review 96

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 113

Generative AI Lambda Applications AWS 113

AWS Machine Learning - AI

SEPTEMBER 19, 2024

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience.

Knowledge Base 83

Knowledge Base Data Technical Advisors AWS 83

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. Additionally, you can choose what gets logged.

Generative AI 99

Generative AI Applications AWS Knowledge Base 99

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 83

Knowledge Base AWS Generative AI Artificial Inteligence 83

AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages. By converting unstructured document collections into searchable knowledge bases, organizations can seamlessly find, analyze, and use their data.

Data 100

Data Generative AI Artificial Inteligence Compliance 100

Dell EMC

MAY 11, 2020

In an effort to enable you with relevant support resources with greater speed and efficiency, Dell EMC now identifies top-trending product support recommendations for our high-end data storage and software products and gathers them together in one place.

Storage 89

Storage Trends Knowledge Base Resources 89

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 following diagram illustrates the solutions technical architecture. These documents form the foundation of the RAG architecture.

Generative AI 94

Generative AI Technical Review Software Review Systems Review 94

AWS Machine Learning - AI

SEPTEMBER 24, 2024

We will walk you through deploying and testing these major components of the solution: An AWS CloudFormation stack to set up an Amazon Bedrock knowledge base, where you store the content used by the solution to answer questions. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 90

Knowledge Base Generative AI Artificial Inteligence Lambda 90

AWS Machine Learning - AI

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity.

Data 105

Data AWS Groups Knowledge Base 105

AWS Machine Learning - AI

APRIL 10, 2025

They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data. To do so, we create a knowledge base. Complete the following steps: On the Amazon Bedrock console, choose Knowledge Bases in the navigation pane. Choose Next.

Case Study 102

Case Study Artificial Inteligence Study Generative AI 102

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 87

AWS Generative AI Technical Review Artificial Inteligence 87

AWS Machine Learning - AI

NOVEMBER 22, 2024

Instead of handling all items within a single execution, Step Functions launches a separate execution for each item in the array, letting you concurrently process large-scale data sources stored in Amazon Simple Storage Service (Amazon S3), such as a single JSON or CSV file containing large amounts of data, or even a large set of Amazon S3 objects.

Generative AI 76

Generative AI AWS Technical Review Backup 76

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 98

Artificial Inteligence Technical Review Healthcare Systems Review 98

AWS Machine Learning - AI

JANUARY 29, 2025

Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents. Sufficient local storage space, at least 17 GB for the 8B model or 135 GB for the 70B model. The following diagram illustrates the end-to-end flow.

Generative AI 118

Generative AI Artificial Inteligence AWS Serverless 118

AWS Machine Learning - AI

JANUARY 13, 2025

Enterprises provide their developers, engineers, and architects with a range of knowledge bases and documents, such as usage guides, wikis, and tools. But these resources tend to become siloed over time and inaccessible across teams, resulting in reduced knowledge, duplication of work, and reduced productivity.

Generative AI 91

Generative AI AWS Innovation Knowledge Base 91

AWS Machine Learning - AI

NOVEMBER 15, 2024

With RAG, you can provide the context to the model and tell the model to only reply based on the provided context, which leads to fewer hallucinations. With Amazon Bedrock Knowledge Bases , you can implement the RAG workflow from ingestion to retrieval and prompt augmentation.

Applications 101

Applications Generative AI AWS Artificial Inteligence 101

AWS Machine Learning - AI

NOVEMBER 14, 2024

Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. The storage layer uses Amazon Simple Storage Service (Amazon S3) to hold the invoices that business users upload.

Software Review 94

Software Review Technical Review AWS Artificial Inteligence 94

AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

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 115

Artificial Inteligence Research Knowledge Base Applications 115

AWS Machine Learning - AI

APRIL 18, 2024

This standardization is made possible by using advanced prompts in conjunction with Knowledge Bases for Amazon Bedrock , which stores information on organization-specific Terraform modules. This Knowledge Base includes tailored best practices, security guardrails, and guidelines specific to the organization.

AWS 118

AWS Applications Lambda Knowledge Base 118

Altexsoft

NOVEMBER 22, 2021

The importance of self-service is steadily increasing, with knowledge bases being the bright representative of the concept. Research shows that customers prefer knowledge bases over other self-service channels, so consider creating one — and we’ll help you figure out what it is and how you can make it best-of-class.

Knowledge Base 52

Knowledge Base How To Technical Review eCommerce 52

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. It serves as the data source to the knowledge base.

Artificial Inteligence 122

Artificial Inteligence Lambda Knowledge Base IoT 122

AWS Machine Learning - AI

NOVEMBER 6, 2024

Data source curation and authorization – The CCoE team created several Amazon Simple Storage Service (Amazon S3) buckets to store their curated content, including cloud governance best practices, patterns, and guidance. They set up a general bucket for all users and specific buckets tailored to each business unit’s needs.

Generative AI 94

Generative AI Government Technical Review Innovation 94

CIO

JULY 22, 2024

Cloud repatriation: A consistent practice borne of common concerns According to IDC’s June 2024 report “ Assessing the Scale of Workload Repatriation ,” about 80% of respondents “expected to see some level of repatriation of compute and storage resources in the next 12 months.” That 80% is consistent with past survey findings.

Strategy 193

Strategy Cloud Data Center Technical Advisors 193

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 70

Generative AI Artificial Inteligence Metrics AWS 70