Accountability, APIs and Knowledge Base - Customer Contact Central

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

AWS Machine Learning

NOVEMBER 7, 2024

In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.

APIs

APIs Enterprise Automotive Customer Support

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

Engineering

Engineering APIs Analytics Enterprise

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning

MARCH 14, 2025

Amazon Bedrock has recently launched two new capabilities to address these evaluation challenges: LLM-as-a-judge (LLMaaJ) under Amazon Bedrock Evaluations and a brand new RAG evaluation tool for Amazon Bedrock Knowledge Bases.

Metrics

Metrics Best practices Engineering APIs

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

AWS Machine Learning

OCTOBER 31, 2024

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.

APIs

APIs Scripts Accountability Construction

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning

FEBRUARY 11, 2025

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely.

Enterprise

Enterprise Engineering APIs Best practices

Introducing guardrails in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

APIs

APIs Banking Metrics Management

Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. These five webpages act as a knowledge base (source data) to limit the RAG models response.

Benchmark

Benchmark APIs Enterprise Scripts

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

APIs

APIs Finance Chatbots Enterprise

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

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.

APIs

APIs Enterprise Scripts Accountability

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

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.

APIs

APIs Scripts Enterprise Management

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Model providers can’t access customer data in the deployment account.

Best practices

Best practices APIs Accountability Personalization

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

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise

Enterprise APIs Government Accountability

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

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.

Construction

Construction APIs Metrics Accountability

Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

AWS Machine Learning

AUGUST 7, 2024

For instance, customer support, troubleshooting, and internal and external knowledge-based search. RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. Create a knowledge base that contains this book.

APIs

APIs Chatbots Metrics Education

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

APRIL 18, 2024

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. It’s straightforward to deploy in your AWS account. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

APIs

APIs Accountability Analytics Entertainment

Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

AWS Machine Learning

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.

APIs

APIs Call flow Accountability Technology

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

APRIL 8, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model.

APIs

APIs Construction Chatbots Accountability

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

AWS Machine Learning

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.

Healthcare

Healthcare APIs Government Accountability

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

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.

APIs

APIs Government Best practices Metrics

Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning

OCTOBER 29, 2024

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

Best practices

Best practices Feedback Metrics APIs

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

MAY 1, 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, 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.

Chatbots

Chatbots APIs Engineering Automotive

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

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.

Chatbots

Chatbots APIs Engineering Enterprise

Secure a generative AI assistant with OWASP Top 10 mitigation

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs

APIs Scripts Best practices Management

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs

APIs Enterprise Best practices Accountability

Using natural language in Amazon Q Business: From searching and creating ServiceNow incidents and knowledge articles to generating insights

AWS Machine Learning

DECEMBER 18, 2024

Enterprises that have adopted ServiceNow can improve their operations and boost user productivity by using Amazon Q Business for various use cases, including incident and knowledge management. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business. Choose Next.

APIs

APIs Enterprise Accountability Government

How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

DECEMBER 11, 2024

Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies. These push-based notifications are available in our assistants Slack application, and were planning to make them available in our web experience as well.

Sales

Sales Accountability APIs CRM

Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source

AWS Machine Learning

SEPTEMBER 19, 2024

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience.

APIs

APIs Accountability Management Engineering

Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

JUNE 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.

APIs

APIs Self service Engineering Customer Experience

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs

APIs Banking Best practices Engineering

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs

APIs Transportation Best practices Enterprise

Implement RAG while meeting data residency requirements using AWS hybrid and edge services

AWS Machine Learning

JANUARY 14, 2025

Fully local RAG For the deployment of a large language model (LLM) in a RAG use case on an Outposts rack, the LLM will be self-hosted on a G4dn instance and knowledge bases will be created on the Outpost rack, using either Amazon Elastic Block Storage (Amazon EBS) or Amazon S3 on Outposts.

APIs

APIs Chatbots Enterprise Healthcare

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

AWS Machine Learning

JULY 2, 2024

This solution also uses the hybrid search feature of Knowledge Bases for Amazon Bedrock to increase the relevancy of retrieved results using RAG. For more information about hybrid search, see Knowledge Bases for Amazon Bedrock now supports hybrid search. The request is sent by the web application to the API.

APIs

APIs Scripts Enterprise Engineering

Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning

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. Your data remains in the AWS Region where the API call is processed. All data is encrypted in transit and at rest.

Best practices

Best practices Enterprise Engineering Strategic Value

How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The serverless architecture provides scalability and responsiveness, and secure storage houses the studios vast asset library and knowledge base.

Entertainment

Entertainment APIs Technology Feedback

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

JANUARY 28, 2025

Similarly, maintaining detailed information about the datasets used for training and evaluation helps identify potential biases and limitations in the models knowledge base. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs.

Management

Management APIs Engineering Metrics

Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

AWS Machine Learning

MARCH 6, 2025

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, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Metrics

Metrics Enterprise APIs Engineering

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

NOVEMBER 22, 2024

Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

APIs

APIs Technology Management Enterprise

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

SEPTEMBER 24, 2024

You can deploy the solution in your own AWS account and try the example solution. 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.

Contact Center

Contact Center Analytics Accountability Self service

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

AWS Machine Learning

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. Dynamic information retrieval – Amazon Bedrock agents can use web search APIs to fetch up-to-date information on a wide range of topics.

APIs

APIs Chatbots Construction Engineering

Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

Enterprise

Enterprise Government Accountability Finance

Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions

AWS Machine Learning

MARCH 18, 2025

Beyond Amazon Bedrock models, the service offers the flexible ApplyGuardrails API that enables you to assess text using your pre-configured guardrails without invoking FMs, allowing you to implement safety controls across generative AI applicationswhether running on Amazon Bedrock or on other systemsat both input and output levels.

Government

Government APIs Enterprise Technology

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

NOVEMBER 15, 2024

In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We built a RAG system that combines these diverse data types into a single knowledge base, allowing analysts to efficiently access and correlate information.

APIs

APIs Engineering Chatbots Construction

LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases.

Metrics

Metrics Engineering APIs Benchmark

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

NOVEMBER 19, 2024

Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster. This chalk talk demonstrates how to process machine-generated signals into your contact center, allowing your knowledge base to provide real-time solutions.

APIs

APIs Enterprise Best practices Government

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

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

Trending Sources

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

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

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Introducing guardrails in Knowledge Bases for Amazon Bedrock

Benchmarking Amazon Nova and GPT-4o models with FloTorch

Knowledge Bases for Amazon Bedrock now supports hybrid search

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

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

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

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

Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

Empower your generative AI application with a comprehensive custom observability solution

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

Secure a generative AI assistant with OWASP Top 10 mitigation

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

Using natural language in Amazon Q Business: From searching and creating ServiceNow incidents and knowledge articles to generating insights

How AWS sales uses Amazon Q Business for customer engagement

Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source

Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Implement RAG while meeting data residency requirements using AWS hybrid and edge services

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

Accelerate AWS Well-Architected reviews with Generative AI

How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

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

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

Generative AI operating models in enterprise organizations with Amazon Bedrock

Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

LLM-as-a-judge on Amazon Bedrock Model Evaluation

Your guide to generative AI and ML at AWS re:Invent 2024

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