AWS Machine Learning - AI

NOVEMBER 22, 2024

With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. 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.

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AWS Machine Learning - AI

MAY 31, 2024

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. The following diagram depicts a high-level RAG architecture. Who does GDPR apply to? Model providers can’t access customer data in the deployment account.

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AWS Machine Learning - AI

APRIL 1, 2025

Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation. All the code for this post is available in the GitHub repository.

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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

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.

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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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AWS Machine Learning - AI

DECEMBER 11, 2024

In the same spirit of using generative AI to equip our sales teams to most effectively meet customer needs, this post reviews how weve delivered an internally-facing conversational sales assistant using Amazon Q Business. Not only that, but our sales teams devise action plans that they otherwise might have missed without AI assistance.

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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. The code and resources required for deployment are available in the amazon-bedrock-examples repository.

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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. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

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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.

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AWS Machine Learning - AI

APRIL 22, 2025

Some of the challenges in capturing and accessing event knowledge include: Knowledge from events and workshops is often lost due to inadequate capture methods, with traditional note-taking being incomplete and subjective. The below diagram shows the live-stream acquisition and real-time transcription.

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AWS Machine Learning - AI

JULY 11, 2024

In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Next, the agent provides a comprehensive summary of the architecture diagram along with additional inputs provided by the user.

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AWS Machine Learning - AI

DECEMBER 4, 2024

Organizations can use these models securely, and for models that are compatible with the Amazon Bedrock Converse API, you can use the robust toolkit of Amazon Bedrock, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Flows.

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AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. The primary agent can also consult attached knowledge bases or trigger action groups before or after subagent involvement.

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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. The following diagram illustrates the solution architecture. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

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AWS Machine Learning - AI

JANUARY 29, 2025

Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. The resulting distilled models, such as DeepSeek-R1-Distill-Llama-8B (from base model Llama-3.1-8B

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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. Before we dive deep into the deployment of the AI agent, lets walk through the key steps of the architecture, as shown in the following diagram.

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AWS Machine Learning - AI

MARCH 20, 2025

Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly. This is powered by the web app portion of the architecture diagram (provided in the next section).

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AWS Machine Learning - AI

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. This is achieved by writing Terraform code within an application-specific repository.

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AWS Machine Learning - AI

JANUARY 29, 2025

Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.

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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. you might need to edit the connection.

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AWS Machine Learning - AI

MAY 30, 2024

Vitech is a global provider of cloud-centered benefit and investment administration software. In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. The following diagram shows the solution architecture.

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Apiumhub

NOVEMBER 15, 2018

Software documentation tools are very important in software development. Software teams may refer to documentation when talking about product requirements, release notes, or design specs. They may use docs to detail code, APIs, and record their software development processes. It is like a compass for your team.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

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AWS Machine Learning - AI

JUNE 26, 2024

Generative AI agents, which form the backbone of AI-powered assistants, can orchestrate interactions between foundation models, data sources, software applications, and users. Both the action groups and knowledge base are optional and not required for the agent itself.

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AWS Machine Learning - AI

DECEMBER 10, 2024

Solution overview The following figure illustrates a sample architecture using Amazon Q Business plugins. To maximize accuracy, review the best practices for configuring OpenAPI schema definitions for custom plugins. Sachi Sharma is a Senior Software Engineer at Amazon Q Business, specializing in generative and agentic AI.

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Apiumhub

DECEMBER 4, 2023

In the dynamic and ever-evolving landscape of the software development industry, staying up to date is not merely a choice but a strategic imperative. The rapid pace of technological advancements demands that professionals continually expand their skill sets and knowledge base. Learn more about this workshop here. Click here.

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AWS Machine Learning - AI

APRIL 9, 2025

Its essential for admins to periodically review these metrics to understand how users are engaging with Amazon Q Business and identify potential areas of improvement. 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.

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AWS Machine Learning - AI

MARCH 19, 2024

Generative AI using large pre-trained foundation models (FMs) such as Claude can rapidly generate a variety of content from conversational text to computer code based on simple text prompts, known as zero-shot prompting. To address this, you can use the FM’s ability to generate code in response to natural language queries (NLQs).

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Troubleshooting infrastructure as code (IaC) errors often consumes valuable time and resources. This post demonstrates how you can use Amazon Bedrock Agents to create an intelligent solution to streamline the resolution of Terraform and AWS CloudFormation code issues through context-aware troubleshooting.

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AWS Machine Learning - AI

MAY 9, 2024

Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture.

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AWS Machine Learning - AI

APRIL 24, 2024

They also allow for simpler application layer code because the routing logic, vectorization, and memory is fully managed. It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This text input is captured and sent to the AI assistant.

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AWS Machine Learning - AI

OCTOBER 24, 2024

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain.

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CIO

MAY 2, 2023

Other well-known GenAI applications can generate narrative text to summarize or query large volumes of data, generate images and video in response to descriptive phrases, or even generate complex code based on natural language questions. Caton : CarMax reviews millions of vehicles.

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Apiumhub

MARCH 26, 2019

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona.

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AWS Machine Learning - AI

MARCH 18, 2025

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. The following diagram shows the solution architecture. This make sure that the model can correctly understand the database and generate a response tailored to enterprise-based data schema and tables.

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