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- QnA Maker retirement and migration FAQ
Frequently asked questions on the retirement of Azure QnA Maker and migration to Azure Language Question Answering
- QnA with Azure Cognitive Search | Microsoft Community Hub
QnA + Azure Cognitive Search enables instant answers over your search results Now, you do not need to spend time looking through your pile of documents to find the exact answer to your query There will be an instant answer coming up for the user query from the most relevant documents present in your system A solution where you can ingest your pile of documents and query over them to get the
- QnA Maker managed - techcommunity. microsoft. com
QnA Maker is an Azure Cognitive Service that allows you to create a conversational layer over your data- in minutes Today, we are announcing a new version of QnA Maker which advances several core capabilities like better relevance and precise answering, by introducing state-of-art deep learning technologies
- Generate Synthetic QnAs from Real-world Data on Azure
All of this code is uploaded here PDF make_qa_multimodal_pdf_docai ipynb: (Recommended) Generate QnA synthetic dataset from a Complex PDF using Azure AI Document Intelligence make_qa_multimodal_pdf_oss ipynb: Generate QnA synthetic dataset from a Complex PDF using Open source (Unstructured toolkit for this hands-on)
- Announcing the Extension of Some QnA Maker Functionality
In 2022, we announced the deprecation of QnA Maker by March 31, 2025 with a recommendation to migrate to Custom Question Answering (CQA) In response to
- Introducing Azure Cognitive Service for Language
Each service was initially focused on a set of capabilities supporting distinct customer scenarios For example, LUIS for custom language models most often supporting bots, Text Analytics for general purpose pre-built language services, and QnA Maker for knowledge-based question answering
- Question answering feature is generally available
This simplifies service management compared to QnA Maker that requires users to manage 5 services As question answering is now a feature in the Language Service, users can access other NLP features with the same Language Service This greatly reduces complexity for users who combine multiple NLP features for their use cases
- How to build chatbots with Microsoft Azure AI
Learn how to build chatbots to better serve your customers at scale while alleviating the strain on your resources
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