Deploy Voice Agents with Pipecat and Amazon Bedrock

Introduction to Deploying Voice Agents

In this series of posts, you will learn how streaming architectures help solve problems using Pipecat voice agents on the Amazon Bedrock AgentCore Runtime platform. In the first part, we will explore the process of deploying Pipecat voice agents using various networking approaches, including WebSockets, WebRTC, and telephony integration.

Video Generation with RAG

We will examine an approach to video generation via VRAG, which allows for transforming text prompts and images into high-quality videos. This fully automated solution enables the creation of realistic video sequences based on structured textual and visual data.

Agent AI in Business

In the second part of our series, we turn to executives who must translate a common foundation into action. Each role carries unique responsibilities and risks, which are critical to the success of agent AI.

Operationalizing Agent AI

The AWS Innovation Center for Generative AI has helped over 1000 clients implement AI into production, achieving significant productivity gains. We share recommendations for executives at various levels, including CTOs, CISOs, and business owners.

Integrating Amazon Quick Suite Chat Agents

Organizations find it challenging to implement secure embedded chat in their applications, which can take weeks of development. We will demonstrate how to address this issue with a one-click deployment solution using the Quick Suite SDK to integrate chat agents into corporate portals.