Knowledge Base, Lambda and Scalability

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

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

Knowledge Base Artificial Inteligence Lambda Authentication

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

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

Knowledge Base Artificial Inteligence Applications Lambda

Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

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

Knowledge Base Artificial Inteligence Analysis AWS

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

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

Knowledge Base Artificial Inteligence Lambda Applications

Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock

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

Knowledge Base Artificial Inteligence Programming Generative AI

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

OCTOBER 31, 2024

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. Keep this blank if you decide not to use an existing knowledge base.

Generative AI

Generative AI Lambda Applications AWS

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

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 documents are chunked into smaller segments for more effective processing.

Lambda

Lambda Enterprise Automotive Knowledge Base

Using Agents for Amazon Bedrock to interactively generate infrastructure as code

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

Software Review Infrastructure Lambda Generative AI

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

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

Artificial Inteligence Lambda Knowledge Base IoT

Use Amazon Bedrock Agents for code scanning, optimization, and remediation

AWS Machine Learning - AI

NOVEMBER 27, 2024

The Amazon Bedrock agent forwards the details to an action group that invokes a Lambda function. Upon completion, the action group (Lambda function) sends the information back to the Amazon Bedrock agent, which then displays the status to the user. This gives your agent access to required services, such as Lambda.

Software Review

Software Review Lambda Generative AI Artificial Inteligence

Accelerate migration portfolio assessment using Amazon Bedrock

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.

Lambda

Lambda Knowledge Base AWS Generative AI

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

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. Cost efficiency is achieved through minimized development resources and lower operational costs compared to maintaining custom knowledge management systems.

Lambda

Lambda Knowledge Base Generative AI AWS

Empower your generative AI application with a comprehensive custom observability solution

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

Generative AI Applications AWS Knowledge Base

Search enterprise data assets using LLMs backed by knowledge graphs

AWS Machine Learning - AI

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

Enterprise

Enterprise Artificial Inteligence Data Knowledge Base

Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

NOVEMBER 1, 2024

Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments. This visibility is essential for setting accurate pricing for generative AI offerings, implementing chargebacks, and establishing usage-based billing models.

Generative AI

Generative AI AWS Budget Artificial Inteligence

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

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

Generative AI Lambda Applications AWS

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

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

Artificial Inteligence Meeting AWS Generative AI

Build a multi-tenant generative AI environment for your enterprise on AWS

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

Generative AI AWS Artificial Inteligence Enterprise

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

NOVEMBER 22, 2024

The map functionality in Step Functions uses arrays to execute multiple tasks concurrently, significantly improving performance and scalability for workflows that involve repetitive operations. Furthermore, our solutions are designed to be scalable, ensuring that they can grow alongside your business.

Generative AI

Generative AI AWS Technical Review Backup

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

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

Artificial Inteligence Analytics Knowledge Base Lambda

The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning - AI

MARCH 14, 2024

We use AWS Lambda as our orchestration function responsible for interacting with various data sources, LLMs and error correction based on the user query. The unified, scalable pipeline we developed allows the PGA TOUR to scale to their full history of data, some of which goes back to the 1800s.

Generative AI

Generative AI Artificial Inteligence Virtualization UI/UX

How healthcare payers and plans can empower members with generative AI

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. Technical Account Manager with AWS based out of New York. User authentication and authorization is done using Amazon Cognito. Sukhomoy Basak is a Sr.

Generative AI

Generative AI Healthcare Artificial Inteligence Insurance

Enhance your media search experience using Amazon Q Business and Amazon Transcribe

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

Media Lambda AWS Video

AWS empowers sales teams using generative AI solution built on Amazon Bedrock

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.

Generative AI

Generative AI AWS Artificial Inteligence Technical Review

Harnessing the Power of AWS Bedrock through CloudFormation

Perficient

AUGUST 20, 2024

AWS Bedrock offers several key benefits: Scalability : AWS Bedrock models can scale to meet the demands of large and complex applications. Integration with AWS Services : Bedrock models seamlessly integrate with other AWS services, such as AWS Lambda, Amazon S3, and Amazon SageMaker.

AWS

AWS Artificial Inteligence Lambda Training

Automate invoice processing with Streamlit and Amazon Bedrock

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

Software Review Technical Review AWS Artificial Inteligence

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning - AI

OCTOBER 2, 2024

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ).

Generative AI

Generative AI Artificial Inteligence AWS Government

Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning - AI

OCTOBER 1, 2024

We demonstrate the process of integrating Anthropic Claude’s advanced natural language processing capabilities with the serverless architecture of Amazon Bedrock, enabling the deployment of a highly scalable and cost-effective solution.

Serverless

Serverless Artificial Inteligence AWS Software Review

The Five Pillars of AWS Well-Architected Framework?—?Understanding What Makes the Cloud Secure

Cloud Conformity

MARCH 1, 2019

The framework underpins our entire platform and forms our Knowledge Base to ensure your cloud infrastructure is the most resilient, secure and efficient for your needs. Not only does it involve recovery from failure or service disruptions, but it also includes the issue of capacity management and scalability.

AWS

AWS Cloud Software Review Infrastructure

Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases

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

Knowledge Base Generative AI Artificial Inteligence Lambda

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

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

Generative AI Applications Technical Review Software Review

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

NOVEMBER 20, 2024

The combination of retrieval augmented generation (RAG) and knowledge bases enhances automated response accuracy. The combination of retrieval-based and generation-based models in RAG allows for accessing databases and generating accurate and contextually relevant responses.

Knowledge Base

Knowledge Base Lambda Artificial Inteligence AWS

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2

AWS Machine Learning - AI

OCTOBER 21, 2024

The agent can use company APIs and external knowledge through Retrieval Augmented Generation (RAG). In this second part, we dive into the architectural considerations and development lifecycle practices that can help you build robust, scalable, and secure intelligent agents.

Generative AI

Generative AI Artificial Inteligence Applications AWS

CTO Universe

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

Webinars

Trending Sources

Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

Webinars

Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

Using Agents for Amazon Bedrock to interactively generate infrastructure as code

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

Use Amazon Bedrock Agents for code scanning, optimization, and remediation

Accelerate migration portfolio assessment using Amazon Bedrock

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

Empower your generative AI application with a comprehensive custom observability solution

Search enterprise data assets using LLMs backed by knowledge graphs

Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

Build a multi-tenant generative AI environment for your enterprise on AWS

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

How healthcare payers and plans can empower members with generative AI

Enhance your media search experience using Amazon Q Business and Amazon Transcribe

AWS empowers sales teams using generative AI solution built on Amazon Bedrock

Harnessing the Power of AWS Bedrock through CloudFormation

Automate invoice processing with Streamlit and Amazon Bedrock

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

The Five Pillars of AWS Well-Architected Framework?—?Understanding What Makes the Cloud Secure

Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Automate Q&A email responses with Amazon Bedrock Knowledge Bases

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2

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