https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/
QnA Maker is a cloud-based API service that creates a conversational, question-and-answer layer over your data. QnA Maker enables you to power a question-and-answer service from your semi-structured content like FAQ documents, URLs, and product manuals. The QnA Maker service answers your users' natural language questions by matching it with the best possible answer from the QnAs in your

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/whats-new
The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of Azure AI Language. For question answering capabilities within the Language Service, see question answering. Starting 1st October, 2022 you won't be able to create new QnA Maker resources.

https://learn.microsoft.com/en-us/microsoftteams/manage-qna-for-teams
Learn about how IT Admins can set up, use, and manage Q&A in Q&A for Teams meetings, webinars, and town halls. Learn about Q&A, a structured approach to gathering questions snd organizing discussions. Learn how to delete individual Q&A messages. Learn about using available languages for Q&A. Understand the data lifecycle and data retention and deletion policies for Q&A.

https://devblogs.microsoft.com/premier-developer/build-an-interactive-assistant-using-qna-maker/
Below are the steps to spin up a chatbot in just a few minutes using the QnA Maker service. Go to the QnA Maker site and on the 'Create a knowledge base' tab, click 'Create a QnA service'. This will redirect you to your Azure portal to setup the service. Fill in all the required fields and hit 'Create'. Once the service is deployed

https://www.qnamaker.ai/
QnA Maker extraction and ranking models are available in more than 50 languages. QnA Maker is a no code way to build bots. QnA Maker extracts questions and answers from FAQ pages, support websites, excel files, product manuals, SharePoint documents etc. You can build an FAQ bot using QnA Maker without writing a single line of code.

https://azure.microsoft.com/en-us/blog/qna-maker-updates-april-2019/
New Bot Framework v4 Template for QnA Maker. The QnA Maker service lets you easily create and manage a knowledge base from your data, including FAQ pages, support URLs, PDFs, and doc files. You can test and publish your knowledge base and then connect it to a bot using a bot framework sample or template. With this update we have simplified the

https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/solution-overview.html
Create a custom question and answer chatbot. PDF. Publication date: September 2021 ( last update : June 2024) The QnABot on AWS solution is a generative AI-enabled multi-channel, multi-language conversational chatbot that responds to your customer's questions, answers, and feedback. It is built on Amazon Lex, Amazon Polly, Amazon OpenSearch

https://aws.amazon.com/blogs/machine-learning/creating-a-question-and-answer-bot-with-amazon-lex-and-amazon-alexa/
Enter the answer: The Q and A Bot uses Amazon Lex and Alexa to provide a natural language interface for your FAQ knowledge base, so your users can just ask a question and get a quick and relevant answer. Choose the CREATE button (bottom right of the card). Repeat steps 3-7, entering the items from the table below.

https://aws.amazon.com/solutions/implementations/qnabot-on-aws/
QnABot on AWS is a generative artificial intelligence (AI)-enabled multi-channel, multi-language conversational interface (or chatbot) that responds to your customer's questions, answers, and feedback. It allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS, and Amazon Alexa.

https://aws.amazon.com/blogs/machine-learning/deploy-generative-ai-self-service-question-answering-using-the-qnabot-on-aws-solution-powered-by-amazon-lex-with-amazon-kendra-and-amazon-bedrock/
Powered by Amazon Lex, the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. In this post, we introduce the new Generative AI

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/overview/overview
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information. QnA Maker is commonly used to build conversational client applications, which include

https://community.slido.com/master-your-facilitation-skills-104/how-to-host-better-q-a-sessions-at-all-hands-meetings-2289
3. Start collecting questions before the meeting. Give your executives as well as your employees time to prepare for the Q&A. Collect your team members' questions in advance - for example, a few days leading up to the all-hands meeting. This will give your employees time to think about what they want to ask the executive team.

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/quickstarts/create-publish-knowledge-base
Create your first QnA Maker knowledge base. Sign in to the QnAMaker.ai portal with your Azure credentials.. In the QnA Maker portal, select Create a knowledge base.. On the Create page, skip Step 1 if you already have your QnA Maker resource.. If you haven't created the service yet, select Stable and Create a QnA service.You are directed to the Azure portal to set up a QnA Maker service in

https://www.qnap.com/en/software/hybridmount
HybridMount can mount storage from various sources, including cloud storage and remote servers. Multiple mounting possibilities help you flexibly expand the capacity of a QNAP NAS (or other supported QNAP devices), while also providing single-interface central management of files on the NAS, cloud storage, and remote devices.

https://www.qnap.com/en/product/qna-uc5g1t
The light and portable QNAP QNA-UC5G1T USB 3.2 Gen 1 to 5GbE adapter provides the ability to add an extra network port to your Windows® computer or QNAP NAS. Supporting 5GbE/ 2.5GbE/ 1GbE/ 100MbE connections, the QNA-UC5G1T is especially useful for laptops that lack native Ethernet connectivity.

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/concepts/plan
Note. The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of Azure AI Language.For question answering capabilities within the Language Service, see question answering.Starting 1st October, 2022 you won't be able to create new QnA Maker resources.

https://www.msn.com/en-us/weather/topstories/july-2024-snow-conditions-report-from-mt-hood-oregon/ar-BB1q6cGF
Matt Roebke, a Timberline, Mt. Hood and Windells veteran, fills us in on what the snow conditions are looking like in mid-July, 2024. Powder. July 2024 Snow Conditions Report from Mt. Hood, Oregon.

https://towardsdatascience.com/chatbot-strategy-with-qna-maker-9554e5bd7782
Using QnA Maker. QnA Maker is a fully functional application and the "data" (question and answer pairs) is coupled within natural language processing to enable conversational AI. You can use QnA Maker as-is or make it the underpinnings of something more (e.g., a chatbot to a web site).

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/concepts/question-answer-set
A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer. An answer can loosely resemble a database row or a data structure instance. Note. The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/how-to/use-active-learning
The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of Azure AI Language. For question answering capabilities within the Language Service, see question answering. Starting 1st October, 2022 you won't be able to create new QnA Maker resources.

https://learn.microsoft.com/en-us/power-bi/developer/embedded/qanda
Power BI embedded analytics offers you a way to incorporate Q&A into an application. Your users can ask questions using natural language, and receive immediate answers in the form of visuals like charts or graphs. There are two modes for embedding Q&A within your application: interactive and result only. Interactive mode allows you to type in

https://learn.microsoft.com/en-us/azure/ai-services/qnamaker/how-to/manage-qna-maker-app
The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of Azure AI Language. For question answering capabilities within the Language Service, see question answering. Starting 1st October, 2022 you won't be able to create new QnA Maker resources.

https://learn.microsoft.com/en-us/power-bi/natural-language/q-and-a-tooling-teach-q-and-a
In Power BI Desktop, on the Modeling ribbon, select Q&A Setup > Teach Q&A. Type a sentence with a term that Q&A doesn't recognize and select Submit. Select the red double-underlined word. Q&A offers suggestions and prompts you to provide the correct definition of the term. After Define the terms Q&A didn't understand, provide a definition.

https://learn.microsoft.com/en-us/power-bi/create-reports/service-q-and-a-direct-query
In Power BI, select the cog icon and choose Settings. Select Semantic modelsand choose the semantic model to enable for Q&A. Expand Q&A, select the checkbox for Turn on Q&A to ask natural language questions about your data, and choose Apply.