AI/ML, AWS, Cloud Computing

5 Mins Read

Build Your AI Assistant with Amazon Q

Voiced by Amazon Polly


For many, navigating the intricate web of organizational information can feel arduous and time-consuming. Hours are spent searching documents, struggling to locate relevant data, and piecing together fragmented knowledge. But what if an intelligent assistant could streamline this process, transforming our work and unlocking new productivity levels? Introducing Amazon Q, a revolutionary AI-powered service from AWS poised to redefine the workplace experience.

Amazon Q, the AI-powered assistant from AWS, redefines your work experience with its unparalleled ability to access, analyze, and synthesize knowledge from across your organization.

What is Amazon Q?

Imagine having a personal expert at your fingertips who understands your company’s data, code, and systems inside out. That’s Amazon Q in a nutshell. This generative AI assistant lets you interact with your internal information in a natural, conversational way. Ask questions, request summaries, generate content, and even solve problems – all through a simple chat interface.

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Steps to build AI assistant

Getting started with Amazon Q is simple and takes just three steps. First, you configure Amazon Q by connecting and customizing Amazon Q with your organization details. Amazon Q connects to existing data sources like Amazon S3, Salesforce, Slack, Microsoft, and Google, immediately supporting 40 popular business applications and services.

Once connected, Amazon Q starts indexing all your data and content, learning everything about your business. This includes understanding the core concepts, product details, organization structure, and all the details that make your business unique. As well as indexing the data from these sources, Amazon Q uses generative AI to understand and capture the semantic information, making your business unique.

This additional semantic information is captured as vector embeddings, allowing Amazon Q to provide highly relevant results tailored to your company and industry. Your data always remains completely under your control. Amazon Q never shares it externally or uses it to improve any of the underlying models, and that’s it. Lastly, open Amazon Q in your browser, and away you go with a fully customized secure assistant who is an expert in your business.

Step 1: Create Application

The core of your Amazon Q chat solution is an “Application,” which you can create via the console or API.



Step 2: Create Retriever

While you chat, a “retriever” grabs relevant information from a special storage called an “index.” Amazon Q offers retrievers for two indexes: Amazon Kendra and its own “native” kind.


Step 3: Connect data sources

A document repository serves as a data source. Without a queryable interface for data retrieval, Amazon Q offers an index that allows you to synchronize a data source with your chat application. This index can periodically crawl and synchronize documents from the data source to an Amazon Q index.

Amazon Q presents 40 data sources available in the cloud and on-prem. For this demo, let us select the Upload files option to use the local file as the data source.




Once the data source is uploaded, we can check the web experience page and provide a customized tile and subtitle welcome message.




Additional step: Deploy the web experience

Select the application to deploy the web experience and click on the Deploy web experience button.


Copy both the Application consumer service URL and Audience URI fields and save them for now.


Open the AWS IAM Identity Center in a new tab, Click Enable, and go to the Applications page. Click on Add application, as we have created an application already. Select SAML 2.0 for the application type, give the display name, and paste the Application consumer service URL and Audience URI under the application metadata tab, as copied in the previous step.



Note: Download the SAML metadata file. It will be required for user authentication in the upcoming step.



Once the application is added, it’s important to provision at least one user and add a valid email address to use the application.




For the attribute mappings for our application, add attributes as shown in the screenshot below and save the changes.


Under Provide metadata from your IdP, upload the SAML metadata .xml file downloaded in the previous step, Email as an attribute for SAML assertion, and finally click on deploy.


You can use your AI powered assistant for your business use cases. Start chatting!!


Benefits that Boost Productivity

  • Fast and accurate answers: Get immediate insights into critical business questions, eliminating the need for time-consuming manual research.
  • Streamlined tasks: Summarize documents, generate reports, write emails or articles – let Amazon Q handle the grunt work while you focus on strategic tasks.
  • Enhanced decision-making: Gain a deeper understanding of data through visualizations and actionable recommendations, leading to better-informed choices.
  • Spark creativity and innovation: Ask open-ended questions and explore new possibilities based on your company’s knowledge base.

Facing the Competition

While AI assistants are not new, Amazon Q stands out with its focus on enterprise data and secure, personalized approach. Competitors like Google Assistant and Microsoft Cortana excel in general knowledge, but Amazon Q delves deep into your business context, respecting access controls and ensuring information security.

Real-World Use Cases

  • Finance: Analyze complex financial data, generate investor reports, and answer questions about financial performance.
  • Marketing: Craft compelling marketing campaigns based on customer data and market trends.
  • Sales: Identify the best leads, tailor sales pitches, and gain insights into customer behavior.
  • Human Resources: Answer employee questions about policies, benefits, and company information.


Amazon Q marks a significant leap forward in interacting with information at work.

Its ability to bridge the gap between AI and enterprise data unlocks a new level of efficiency, creativity, and productivity.

As businesses strive to navigate the ever-evolving digital landscape, Amazon Q emerges as a powerful tool to keep them ahead.

Drop a query if you have any questions regarding Amazon Q and we will get back to you quickly.

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About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner, Microsoft Gold Partner, AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, and many more.

To get started, go through our Consultancy page and Managed Services PackageCloudThat’s offerings.


1. Is Amazon Q free?

ANS: – Currently, Amazon Q is in preview and has limited availability. Paid plans are expected to have various features and pricing options.

2. Is my data secure with Amazon Q?

ANS: – Yes, Amazon Q prioritizes security and privacy. It respects access controls and never shares your data with third parties.

3. Can I integrate Amazon Q with my existing systems?

ANS: – Yes, Amazon Q offers built-in connectors for popular data sources and enterprise systems.

WRITTEN BY Aishwarya Joshi

Aishwarya works as a Research Associate (AWS Media services) with CloudThat. She is an enthusiastic individual and a good team player. A positive attitude is her way of dealing with everything. She enjoys learning new technologies and exploring various ways of problem-solving. As of late, she has become proficient in cloud services and enjoys writing technical blogs.



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