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 107

Knowledge Base Artificial Inteligence Analysis AWS 107

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 96

Generative AI Applications AWS Knowledge Base 96

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 108

Knowledge Base Artificial Inteligence Applications Lambda 108

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 94

Generative AI Applications Technical Review Software Review 94

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 96

Artificial Inteligence Technical Review Healthcare Systems Review 96

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 96

Knowledge Base Artificial Inteligence Programming Generative AI 96

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 92

Generative AI Technical Review Software Review Systems Review 92

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 89

Knowledge Base Generative AI Artificial Inteligence Lambda 89

AWS Machine Learning - AI

FEBRUARY 25, 2025

Error retrieval and context gathering The Amazon Bedrock agent forwards these details to an action group that invokes the first AWS Lambda function (see the following Lambda function code ). This contextual information is then sent back to the first Lambda function. Provide the troubleshooting steps to the user.

Lambda 61

Lambda Generative AI AWS Software Review 61

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. In parallel, the AVM layer invokes a Lambda function to generate Terraform code. For creating lambda function, please follow instructions.

AWS 116

AWS Applications Lambda Knowledge Base 116

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. Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively.

Generative AI 99

Generative AI AWS Enterprise Artificial Inteligence 99

AWS Machine Learning - AI

JULY 11, 2024

Figure 1 : High level overview of creating Infrastructure as Code from architecture diagram Initial Input through the Amazon Bedrock chat console : The user begins by entering the name of their Amazon Simple Storage Service (Amazon S3) bucket and the object (key) name where the architecture diagram is stored into the Amazon Bedrock chat console.

Software Review 121

Software Review Infrastructure Lambda Generative AI 121

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. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index.

Artificial Inteligence 114

Artificial Inteligence Generative AI Knowledge Base Lambda 114

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 92

Software Review Technical Review AWS Artificial Inteligence 92

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 74

Generative AI AWS Technical Review Backup 74

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 113

Artificial Inteligence Research Knowledge Base Applications 113

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 84

Lambda Knowledge Base AWS Generative AI 84

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. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

Lambda 85

Lambda Knowledge Base Generative AI AWS 85

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 69

Generative AI Artificial Inteligence Metrics AWS 69

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 101

Generative AI Artificial Inteligence AWS Applications 101

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 84

Generative AI Artificial Inteligence Applications Knowledge Base 84

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. A Lambda layer for Amazon Bedrock Boto3, LangChain, and pdfrw libraries.

Generative AI 110

Generative AI Lambda AWS Technical Review 110

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

Artificial Inteligence 117

Artificial Inteligence Meeting AWS Generative AI 117

AWS Machine Learning - AI

MARCH 7, 2025

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. 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.

Generative AI 77

Generative AI Technical Review Insurance Policies 77

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. The serverless batch pipeline architecture we presented offers a scalable solution for automating this process across large enterprise knowledge bases.

Generative AI 73

Generative AI Systems Review Software Review Artificial Inteligence 73

AWS Machine Learning - AI

OCTOBER 7, 2024

Further, the FAQ feature in Amazon Kendra complements the broader retrieval capabilities of the service, allowing the RAG system to seamlessly switch between providing prewritten FAQ responses and dynamically generating responses by querying the larger knowledge base. I can help you with queries based on the documents provided.

Generative AI 92

Generative AI Artificial Inteligence AWS Lambda 92

AWS Machine Learning - AI

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. User authentication and authorization is done using Amazon Cognito. After a successful authentication, a REST API hosted on API Gateway is invoked.

Generative AI 116

Generative AI Healthcare Artificial Inteligence Insurance 116

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 93

Media Lambda AWS Video 93

AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. The following diagram illustrates this architecture.

Generative AI 111

Generative AI AWS Artificial Inteligence Technical Review 111

Perficient

AUGUST 20, 2024

Integration with AWS Services : Bedrock models seamlessly integrate with other AWS services, such as AWS Lambda, Amazon S3, and Amazon SageMaker. The cost parameters for using AWS Bedrock include Compute, Storage, Data Transfer, and Model Usage costing depending on the Number of Input tokens for units per month.

AWS 52

AWS Artificial Inteligence Lambda Training 52

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 110

Artificial Inteligence Applications Knowledge Base AWS 110

AWS Machine Learning - AI

SEPTEMBER 13, 2024

The solution uses the following AWS services: Amazon Athena Amazon Bedrock AWS Billing and Cost Management for cost and usage reports Amazon Simple Storage Service (Amazon S3) The compute service of your choice on AWS to call Amazon Bedrock APIs. Clean up Unless you invoke Amazon Bedrock with this solution, you won’t incur charges for it.

Generative AI 81

Generative AI AWS Technical Review Artificial Inteligence 81

AWS Machine Learning - AI

SEPTEMBER 12, 2024

RAG overview Retrieval-Augmented Generation (RAG) is a technique that enables the integration of external knowledge sources with FM. First, relevant content is retrieved from an external knowledge base based on the user’s query. RAG involves three main steps: retrieval, augmentation, and generation.

Artificial Inteligence 119

Artificial Inteligence Applications Generative AI AWS 119

AWS Machine Learning - AI

NOVEMBER 30, 2023

a series of good question-answer pairs) that you store in Amazon Simple Storage Service (Amazon S3), and Amazon Bedrock “incrementally trains” (augments the copied model with the new information) on these examples, and the result is a private, more accurate fine-tuned model that delivers more relevant, customized responses.

Generative AI 133

Generative AI AWS Artificial Inteligence Software Review 133

AWS Machine Learning - AI

DECEMBER 22, 2023

Although new components have worked their way into the compute layer (fine-tuning, prompt engineering, model APIs) and storage layer (vector databases), the need for observability remains. on(Select.Record.calls[0].args.args[0]).on_output() args.args[0]).on_output() on(Select.Record.calls[0].args.args[0]).on_output() args.args[0]).on_output()

Artificial Inteligence 105

Artificial Inteligence Training Off-The-Shelf Metrics 105

AWS Machine Learning - AI

OCTOBER 1, 2024

Deploy the application manually If you don’t have access to one of the storage options that we mentioned, you can deploy the application manually. The application can be hosted to the Amplify console or to Amazon Simple Storage Service (Amazon S3) and then exposed through Amazon CloudFront. and Amazon Linux 2023.

Serverless 74

Serverless Artificial Inteligence AWS Software Review 74