Category: Amazon Q

Amazon Q embedded is a feature that lets you embed a hosted Amazon Q Business assistant on your website or application to create more personalized experiences that boost end-users’ productivity. In this post, we demonstrate how to use the Amazon Q embedded feature to add an Amazon Q Business assistant to your website or web application using basic HTML or React.

In this post, we’ll demonstrate how to configure an Amazon Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by Amazon Q Business to query real-time data and take actions in ServiceNow.

In this post, we examine how these features enhance the capabilities of Amazon Q Apps. We explore the new customization options, detailing how these advancements make Amazon Q Apps more accessible and applicable to a wider range of enterprise customers. We focus on key features such as custom labels, verified apps, private sharing, and data collection apps (preview).

Amazon Q Business launched support for tabular search, which you can use to extract answers from tables embedded in documents ingested in Amazon Q Business. Tabular search is a built-in feature in Amazon Q Business that works seamlessly across many domains, with no setup required from admin or end users. In this post, we ingest different types of documents that have tables and show you how Amazon Q Business responds to questions related to the data in the tables.

In April 2024, we launched our AI sales assistant, which we call Field Advisor, making it available to AWS employees in the Sales, Marketing, and Global Services organization, powered by Amazon Q Business. Since that time, thousands of active users have asked hundreds of thousands of questions through Field Advisor, which we have embedded in our customer relationship management (CRM) system, as well as through a Slack application.

In this post, we walk you through configuring and integrating Amazon Q for Business with Aurora PostgreSQL-Compatible to enable your database administrators, data analysts, application developers, leadership, and other teams to quickly get accurate answers to their questions related to the content stored in Aurora PostgreSQL databases.

Amazon Q Business is a generative AI-powered assistant that enhances employee productivity by solving problems, generating content, and providing insights across enterprise data sources. Beyond searching indexed third-party services, employees need access to dynamic, near real-time data such as stock prices, vacation balances, and location tracking, which is made possible through Amazon Q Business plugins. […]

In this post, we show how Amazon Q Business integrates with QuickSight to enable users to query both structured and unstructured data in a unified way. The integration allows users to connect to over 20 structured data sources like Amazon Redshift and PostgreSQL, while getting real-time answers with visualizations. Amazon Q Business combines information from structured sources through QuickSight with unstructured content to provide comprehensive answers to user queries.

The New Relic AI custom plugin for Amazon Q Business creates a unified solution that combines New Relic AI’s observability insights and recommendations and Amazon Q Business’s Retrieval Augmented Generation (RAG) capabilities, in and a natural language interface for ease of use. This post explores the use case, how this custom plugin works, how it can be enabled, and how it can help elevate customers’ digital experiences.

In this post, we walk you through configuring and setting up the Amazon Q Salesforce Online connector. Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based platform centralizes customer information and interactions across the organization, providing sales reps, marketers, and support agents with a unified 360-degree view of each customer. With Salesforce at the heart of their business, companies accumulate vast amounts of customer data within the platform over time. This data is incredibly valuable for gaining insights into customers, improving operations, and guiding strategic decisions. However, accessing and analyzing the blend of structured data and unstructured data can be challenging. With the Amazon Q Salesforce Online connector, companies can unleash the value of their Salesforce data.