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

Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

AWS Machine Learning

MARCH 4, 2025

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. In this post, we discuss using metadata filters with Amazon Bedrock Knowledge Bases. For instructions, see Create an Amazon Bedrock knowledge base.

APIs

APIs Best practices Management Personalization

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

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. Delete any skipped resources on the console.

Enterprise

Enterprise Engineering APIs Best practices

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. If you don’t have an existing knowledge base, refer to Create an Amazon Bedrock knowledge base.

APIs

APIs Scripts Accountability Construction

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

Protect sensitive data in RAG applications with Amazon Bedrock

AWS Machine Learning

APRIL 23, 2025

Amazon Bedrock Knowledge Bases is a fully managed capability that simplifies the management of the entire RAG workflow, empowering organizations to give foundation models (FMs) and agents contextual information from your private data sources to deliver more relevant and accurate responses tailored to your specific needs.

APIs

APIs Healthcare Enterprise Accountability

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

AWS Machine Learning

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. Download all three sample data files.

APIs

APIs Sales Surveys Analytics

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

Metadata filtering for tabular data with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

JULY 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Create and ingest data and metadata into the knowledge base.

APIs

APIs Engineering Enterprise Management

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

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

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.

APIs

APIs Healthcare Scripts Enterprise

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

AWS Machine Learning

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Prerequisites To follow along with these examples, you need to have an existing knowledge base. Select the knowledge base you created.

APIs

APIs Engineering Healthcare Education

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

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

Implement web crawling in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

JULY 30, 2024

Knowledge Bases for Amazon Bedrock enables you to aggregate data sources into a repository of information. With knowledge bases, you can effortlessly build an application that takes advantage of RAG. By integrating web crawlers into the knowledge base, you can gather and utilize this web data efficiently.

APIs

APIs Enterprise Analytics Management

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

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

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

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. By default, Amazon Bedrock encrypts all knowledge base-related data using an AWS managed key.

APIs

APIs Scripts Best practices 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. The following diagram depicts a high-level RAG architecture.

Best practices

Best practices APIs Accountability Personalization

Amazon Bedrock Flows is now generally available with enhanced safety and traceability

AWS Machine Learning

NOVEMBER 22, 2024

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. Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure.

APIs

APIs Chatbots Enterprise Customer centricity

How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

APRIL 3, 2025

Mid-market Account Manager Amazon Q, Amazon Bedrock, and other AWS services underpin this experience, enabling us to use large language models (LLMs) and knowledge bases (KBs) to generate relevant, data-driven content for APs. Its a game-changer for serving my full portfolio of accounts.

Accountability

Accountability Sales CRM APIs

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

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

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

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

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

AWS Machine Learning

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock.

APIs

APIs Engineering Chatbots Management

Implement human-in-the-loop confirmation with Amazon Bedrock Agents

AWS Machine Learning

APRIL 9, 2025

In addition, 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 an answer to the users request.

APIs

APIs Entertainment Enterprise Feedback

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. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

APIs

APIs Accountability Analytics Entertainment

Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning

APRIL 26, 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 for fully managed Retrieval Augmented Generation (RAG).

APIs

APIs Enterprise Chatbots Engineering

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. This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL.

APIs

APIs Enterprise Accountability Government

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

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

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

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

Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning

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. Choose Next.

APIs

APIs Metrics Best practices Construction

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

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.

APIs

APIs Education Management

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

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

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

Build a Multi-Agent System with LangGraph and Mistral on AWS

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API. Its used by the weather_agent() function.

APIs

APIs Scripts Enterprise Management

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

Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

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

Introducing guardrails in Knowledge Bases for Amazon Bedrock

Protect sensitive data in RAG applications with Amazon Bedrock

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

Knowledge Bases for Amazon Bedrock now supports hybrid search

Metadata filtering for tabular data with Knowledge Bases for Amazon Bedrock

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

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

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

Implement web crawling in Knowledge Bases for Amazon Bedrock

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

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

Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

Secure a generative AI assistant with OWASP Top 10 mitigation

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

Amazon Bedrock Flows is now generally available with enhanced safety and traceability

How AWS Sales uses generative AI to streamline account planning

Benchmarking Amazon Nova and GPT-4o models with FloTorch

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

Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

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

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

Implement human-in-the-loop confirmation with Amazon Bedrock Agents

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

Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

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

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

Empower your generative AI application with a comprehensive custom observability solution

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

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

Model customization, RAG, or both: A case study with Amazon Nova

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

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

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

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

Build a Multi-Agent System with LangGraph and Mistral on AWS

Stay Connected