article thumbnail

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

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

APIs 123
article thumbnail

Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

AWS Machine Learning

Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Building generative AI applications requires more than model API calls.

APIs 106
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

AWS Machine Learning

Personalized outbound communication can be a powerful tool to increase user engagement and conversion. To achieve this, you can use Amazon Personalize to generate user-personalized recommendations and Amazon Bedrock to generate the text of the email.

article thumbnail

7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Unclear ROI ChatGPT is currently not accessible via API and the cost of a (hypythetical) API call are unclear. They are empowering enterprises to deliver exceptional service that is instant, personalized, in any language, and on any channel.

article thumbnail

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

AWS Machine Learning

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 119
article thumbnail

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

AWS Machine Learning

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.

article thumbnail

Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. There are multiple components to a guardrail for Amazon Bedrock.

APIs 108