Category: HAQM Q

In this blog post, we explore a client services agent assistant application developed by the London Stock Exchange Group (LSEG) using HAQM Q Business. We will discuss how HAQM Q Business saved time in generating answers, including summarizing documents, retrieving answers to complex Member enquiries, and combining information from different data sources (while providing in-text citations to the data sources used for each answer).

HAQM Q embedded is a feature that lets you embed a hosted HAQM 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 HAQM Q embedded feature to add an HAQM Q Business assistant to your website or web application using basic HTML or React.

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

In this post, we examine how these features enhance the capabilities of HAQM Q Apps. We explore the new customization options, detailing how these advancements make HAQM 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).

HAQM Q Business launched support for tabular search, which you can use to extract answers from tables embedded in documents ingested in HAQM Q Business. Tabular search is a built-in feature in HAQM 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 HAQM 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 HAQM 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 HAQM 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.

HAQM 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 HAQM Q Business plugins. […]

In this post, we show how HAQM 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 HAQM Redshift and PostgreSQL, while getting real-time answers with visualizations. HAQM 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 HAQM Q Business creates a unified solution that combines New Relic AI’s observability insights and recommendations and HAQM 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.