Remove Analysis Remove APIs Remove Chatbots
article thumbnail

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 136
article thumbnail

Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing. Select the partner event source and choose Associate with event bus.

Chatbots 130
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

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 108
article thumbnail

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. Also, note the physical ID of the API Gateway connection, which should look something like zxpdjtklw2 , as shown in the following screenshot.

Chatbots 132
article thumbnail

Guest Blog: 10 Chatbot Features That Make Your Bot More Helpful to Customers

Comm100

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.

article thumbnail

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. First, the user logs in to the chatbot application, which is hosted behind an Application Load Balancer and authenticated using Amazon Cognito.

article thumbnail

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI.

Chatbots 133