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

AWS Machine Learning

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 112
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Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

AWS Machine Learning

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 117
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Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models

AWS Machine Learning

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. So what does it mean for an LLM to pick tools and plan tasks?

APIs 111
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5 Great Insurance APIs That Are Changing the Face of the Industry

ConvergeOne

So, what do you do if you’re a CIO or IT Director tasked with adapting your legacy tools and systems to sync with the latest digital trends? We believe that enterprise API integrations made available for insurers by insurance startups are disrupting how insurers execute their digital transformations.

APIs 104
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

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. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 96
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Use Amazon Bedrock tooling with Amazon SageMaker JumpStart models

AWS Machine Learning

Today, we’re excited to announce a new capability that allows you to deploy over 100 open-weight and proprietary models from Amazon SageMaker JumpStart and register them with Amazon Bedrock , allowing you to seamlessly access them through the powerful Amazon Bedrock APIs.

APIs 80
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes. The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint.

APIs 108