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.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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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.

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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.

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AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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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.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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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.

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Knowledge Base Artificial Inteligence Generative AI AWS 126

AWS Machine Learning - AI

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock.

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AWS Machine Learning - AI

OCTOBER 29, 2024

As the complexity and scale of these applications grow, providing comprehensive observability and robust evaluation mechanisms are essential for maintaining high performance, quality, and user satisfaction. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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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.

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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.

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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. Knowledge base node : Apply guardrails to responses generated from your knowledge base.

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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.

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CIO

MARCH 14, 2025

CFO ) AI in Action: AI-powered vendor analysis assesses software options based on performance, cost-effectiveness, and compatibility, so you make data-driven sourcing decisions. See also: How to know a business process is ripe for agentic AI. )

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AWS Machine Learning - AI

DECEMBER 4, 2024

Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI.

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CIO

JANUARY 9, 2025

These AI-based tools are particularly useful in two areas: making internal knowledge accessible and automating customer service. Chatbots are used to build response systems that give employees quick access to extensive internal knowledge bases, breaking down information silos.

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CIO

JANUARY 20, 2025

According to Jackson, CIOs arent sitting in ivory tower offices discussing the virtues of one AGI benchmark over another; theyre asking their software developers to automate complex knowledge-based tasks and processes with foundation models.

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AWS Machine Learning - AI

MAY 2, 2025

The primary agent can also consult attached knowledge bases or trigger action groups before or after subagent involvement. The data assistant agent maintains direct integration with the Amazon Bedrock knowledge base, which was initially populated with ingested financial document PDFs as detailed in this post.

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AWS Machine Learning - AI

APRIL 10, 2025

In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. Fine-tuning is one such technique, which helps in injecting task-specific or domain-specific knowledge for improving model performance. Amazon Nova Micro focuses on text tasks with ultra-low latency.

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AWS Machine Learning - AI

APRIL 1, 2025

Whether youre an experienced AWS developer or just getting started with cloud development, youll discover how to use AI-powered coding assistants to tackle common challenges such as complex service configurations, infrastructure as code (IaC) implementation, and knowledge base integration.

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AWS Machine Learning - AI

MARCH 11, 2025

A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAIs GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. Hemant Joshi, CTO, FloTorch.ai

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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.

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Ivanti

JUNE 11, 2024

One area in which gains can be immediate: Knowledge management, which has traditionally been challenging for many organizations. However, AI-based knowledge management can deliver outstanding benefits – especially for IT teams mired in manually maintaining knowledge bases.

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CIO

JULY 22, 2024

According to a recent Skillable survey of over 1,000 IT professionals, it’s highly likely that your IT training isn’t translating into job performance. Four in 10 IT workers say that the learning opportunities offered by their employers don’t improve their job performance.

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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. These documents form the foundation of the RAG architecture. Metadata filtering is used to improve retrieval accuracy.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Building applications from individual components that each perform a discrete function helps you scale more easily and change applications more quickly. Inline mapping The inline map functionality allows you to perform parallel processing of array elements within a single Step Functions state machine execution.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

DECEMBER 11, 2024

General productivity Amazon Q Business specializes in Retrieval Augmented Generation (RAG) over enterprise and domain-specific datasets, and can also perform general knowledge retrieval and content generation tasks. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application.

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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.

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Palo Alto Networks

OCTOBER 15, 2024

Immediate access to vast security knowledge bases and quick documentation retrieval is just the start. Platform Copilots Benefits More than just assistants, copilots reshape how security is performed.

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TechEmpower CTO

OCTOBER 9, 2023

One of the most compelling features of LLM-driven search is its ability to perform "fuzzy" searches as opposed to the rigid keyword match approach of traditional systems. Moreover, LLMs come equipped with an extensive knowledge base derived from the vast amounts of data they've been trained on.

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AWS Machine Learning - AI

MARCH 20, 2025

With visual grounding, confidence scores, and seamless integration into knowledge bases, it powers Retrieval Augmented Generation (RAG)-driven document retrieval and completes the deployment of production-ready AI workflows in days, not months.

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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. Suggesting personalized care plans or treatment options aligned with evidence-based practices.

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CIO

NOVEMBER 13, 2024

Or instead of writing one article for the company knowledge base on a topic that matters most to them, they might submit a dozen articles, on less worthwhile topics. Employees who need to submit reports to their managers might be able to get those reports done faster, and increase the number and length of those reports.

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AWS Machine Learning - AI

DECEMBER 18, 2024

With custom plugins for Amazon Q Business, you can enhance the application environment to enable your users to use natural language to perform specific tasks related to third-party applications such as Jira, Salesforce, and ServiceNow directly from within their web experience chat.

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