What is QnA Maker?

Creating a functional bot from your data can be accomplished in mere minutes. By leveraging resources such as FAQ pages, support sites, product manuals, SharePoint documents, or editorial content, you can easily create, train, and deploy an advanced bot using an intuitive interface or REST APIs, all without needing any coding expertise. You can launch your bot on various platforms or within teams without writing a single line of code. Additionally, you can give your bot a unique personality by integrating existing chit-chat datasets. The platform facilitates extracting question-answer pairs from a range of semi-structured content, including FAQ pages, support websites, Excel files, product manuals, and policies. Designing complex multi-turn conversations is also simple using the QnA Maker portal or REST APIs. Moreover, you can refine your ranking model based on insights gained from user interactions and feedback, which promotes ongoing enhancement. With the QnA Maker service functioning as a hosted model, you can choose product tiers that fit your organization’s size and throughput needs, all while ensuring security within the Azure compliance framework. This all-encompassing strategy guarantees that individuals with diverse technical backgrounds can effectively utilize automated conversational agents. Ultimately, this accessibility paves the way for innovative applications in customer service and engagement.

Screenshots and Video

QnA Maker Screenshot 1

Company Facts

Company Name:
Microsoft
Date Founded:
1975
Company Location:
United States
Company Website:
www.qnamaker.ai/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

QnA Maker Categories and Features

Conversational AI Platform

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Chatbot Software

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration