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 116

Knowledge Base Artificial Inteligence Applications Lambda 116

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 113

Knowledge Base Artificial Inteligence Analysis AWS 113

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.

Generative AI 105

Generative AI Applications AWS Knowledge Base 105

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 Lambda function performs the actions by calling the JIRA API or database with the required parameters provided from the agent.

Generative AI 101

Generative AI Systems Review System Lambda 101

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 105

Knowledge Base Artificial Inteligence Programming Generative AI 105

AWS Machine Learning - AI

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

Generative AI 135

Generative AI AWS Artificial Inteligence Budget 135

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 89

Generative AI Technical Review Software Review Systems Review 89

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 95

Knowledge Base Generative AI Artificial Inteligence Lambda 95

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 77

Artificial Inteligence Technical Review Healthcare Systems Review 77

AWS Machine Learning - AI

JULY 11, 2024

Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda. An AWS account with the appropriate IAM permissions to create Amazon Bedrock agents and knowledge bases, Lambda functions, and IAM roles.

Software Review 130

Software Review Infrastructure Lambda Generative AI 130

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. Refer to the Lambda function code for more details.

Lambda 61

Lambda Generative AI AWS Software Review 61

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 107

Generative AI AWS Artificial Inteligence Enterprise 107

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 122

AWS Applications Lambda Knowledge Base 122

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 128

Artificial Inteligence Lambda Knowledge Base IoT 128

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 120

Artificial Inteligence Generative AI Knowledge Base Lambda 120

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 93

Cloud AWS Serverless Microservices 93

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

MARCH 13, 2025

The Lambda function spins up an Amazon Bedrock batch processing endpoint and passes the S3 file location. The second Lambda function performs the following tasks: It monitors the batch processing job on Amazon Bedrock. Amazon Bedrock batch processes this single JSONL file, where each row contains input parameters and prompts.

Artificial Inteligence 93

Artificial Inteligence Systems Review System Generative AI 93

AWS Machine Learning - AI

NOVEMBER 22, 2024

RAG and other possible integrations RAG is a strategy that enhances the output of a large language model (LLM) by allowing it to reference an authoritative external knowledge base, generating more accurate or secure responses. sync) pattern, which automatically waits for the completion of asynchronous jobs.

Generative AI 84

Generative AI AWS Technical Review Backup 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 89

Lambda Knowledge Base Generative AI AWS 89

CIO

APRIL 25, 2023

ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. These attributes make it possible for users to enquire about a broad set of information.

Generative AI 174

Generative AI ChatGPT Artificial Inteligence Artificial Intelligence 174

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 88

Lambda Knowledge Base AWS Generative AI 88

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 123

Artificial Inteligence Research Knowledge Base Applications 123

Xebia

MARCH 11, 2025

With the rise of AI, you also need a knowledge base. These knowledge bases can be hosted in OpenSearch. For this reason, I developed a Lambda function that would stop the pipeline when no messages are in the queue. The truth is it is easy, but it all depends on how much you care about the data you are ingesting.

AWS 147

AWS Knowledge Base Lambda Serverless 147

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. We use Anthropic’s Claude 3 Sonnet model in Amazon Bedrock and Streamlit for building the application front-end.

Software Review 101

Software Review Technical Review AWS Artificial Inteligence 101

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 110

Generative AI Artificial Inteligence AWS Applications 110

AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. With just a few configuration steps, you can dramatically expand your chatbot’s knowledge base and capabilities, all while maintaining a streamlined UI.

Generative AI 102

Generative AI Lambda Applications AWS 102

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 90

Generative AI Artificial Inteligence Applications Knowledge Base 90

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. create-stack.sh

Generative AI 118

Generative AI Lambda AWS Technical Review 118

AWS Machine Learning - AI

JANUARY 22, 2025

Conclusion The introduction of multi-turn conversation capability in Flows marks a significant advancement in building sophisticated conversational AI applications.

Travel 121

Travel Hotels AWS Generative AI 121

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 124

Artificial Inteligence Meeting AWS Generative AI 124

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Artificial Inteligence 120

Artificial Inteligence Analytics Knowledge Base AWS 120

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 72

Generative AI Systems Review Artificial Inteligence Software Review 72

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 99

Generative AI Artificial Inteligence AWS Lambda 99

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. For more information, see the pricing pages for Amazon Q Business , Amazon Kendra , Amazon Transcribe , Lambda , DynamoDB , and EventBridge.

Media 103

Media Lambda AWS Video 103

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 59

Generative AI Artificial Inteligence Metrics AWS 59

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. A pre-configured prompt template is used to call the LLM and generate a user-friendly summarized response to the original question.

Generative AI 122

Generative AI Healthcare Artificial Inteligence Insurance 122