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Create a bot from data within minutes
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Using QnA Maker API will give the flexibility to users to create or update or delete QnAs in the QnA Maker Portal. Using C# or any programming users can develop webservices which can be done on event or trigger basis as per need.
QnA maker has multiple methods to use, yet time Microsfot documentation confuses us without giving proper explanation and the metadata params gets outdated too. One should be cautios and validate as per the recent update of API request.
QnA Maker API is simple to use and one cna prepare QnAs very easily by programming it. This helps avoiding spending lot of time on traditional approaches of preparing data by excel sheets manually
QnA Maker API helps users to build Web Services which can connect to QnA Maker Knowledge Base using QnAKey and ID. In which users can update or delete or insert new QnAs. Also users can do bulk insert of QnAs as batch of 100 at a time. Users can also provide context, Metadata for the QnAs added. Besides QnAs related to particular context can be Grouped with one Context name.
The best way to implement the bot, for most frequently asked questions with out using custom code. With simple configuration.
It full filled my requirement so no dislikes
You want to implement FAQ on your website or communitys we can use azure QnA. Easy to configure and easy to use
We want to build most frequently asked questions section on our client website page. After doing some research we decided to use azure QnA instead of custom solution.
I used this tool for creating the chatbot services for one of my clients, I enjoyed all stages of chatbot services like build, test, deploy etc and was easily able to connect it within a few seconds. The response is very fast and gives accurate results.
Training the chatbot with unexpected questions was tough to implement and sometimes it went off due to some sort of problems that occurred in the azure backend. Understanding of it little bit easy though.
I created many chatbots for the airline industry, for the questions response purpose of the customers. ticket booking, ticket rescheduling, canceling, refund questions etc managed easily with this.
Its the best product in its category that i've come across, appreciate all its features, usability is high, delivers high results, increases productivity, saves cost.
There is nothing missing in the product overall. Everything works just fine, the way its supposed to. In my thoughts this product needs nothing more to improve. It is the best solution out there.
All our business problems are being taken care of. We are benifitting financially as well, our productivity has gone high and we have experienced high business performance over time.
The simplicity in the instructions and a well-documented backend service which is simple enough to set up. You can build nice chatbots and FAQs with the service.
I don't really see any downside to the API except the fact that it requires an expensive license to run which is priced way higher than some other competitors which can be reviewed by the Microsoft team.
This definitely is the tool you should use for natural language processing
I basically use the API for making chatbots and FAQs for client websites with online stores and other online service options. I find that the ease and convenience justifies the use case and integration with several other cloud-based services
The features are awesome and very good dashboard. Its very easy to use
Creating a layer is a little complicated
Its very useful and value for money
The product is expensive compared to the competition. Its very easy to use.
We are using Azure QnA for creating chatbots applications creation as well as internal forum creation.We have created chatbots for our multiple applications as well as for websites for automated response.The best part with Azure QnA Maker is it's supports Artificial intelligence that provides chatbots a much good enviorment & availability as well.
The cost is expensive, but when compared to its feature, it seems reasonable. But it's don't seem fair for Startup.
If you are looking for user-friendly AI Chatbots system, then Azure QnA is one of the best products available.
It helps us in creating Chatbots quickly & also implementation is pretty straightforward. Also, the technical support team is available most of the time.
Very easy to create an Own Chatbot QnAmaker and easy to integrate with chatbot service.
I feel it easy but some time is confusing with integrated with other Chatbot scenarios.
I am using to create a chatbot.
QnA Maker API allows you to send queries directly from your application (usually a bot), and quickly receive responses based on your inputted content. This saves users from navigating clunky QnA or FAQ areas of your website and gives them the ability to ask their question in a more natural fashion.
The downside of QnA Maker is the way it can get confused as your knowledge base grows. You may need to continually train it to link questions and answers. Sometimes this means typing slight variations of the same question over and over until it recognizes what it should respond with. This can have a negative flow on effect where the system starts to link under-trained responses with the response you are attempting to train, meaning you need to train those parts of the model again.
We found it useful to setup a conversation router with Microsoft Language Understanding Intelligent Service (LUIS), which can pick up keywords in a query and then link on to a more specific QnA instance. Having multiple QnA instances running in parallel was useful not only for managing the training, but also helped prevent wild outlier responses appearing. Simply separating information about two vastly different areas can improve QnA Maker's ability to find what you are looking for.
Having users type their questions into a bot and having the bot respond conversationally has been a huge improvement. FAQ pages are clunky and difficult to navigate. Typing your question in a box is not. Additionally, you are able to collect logs of messages sent to QnA Maker that give you better insight into the kinds of questions your users are asking, which allows you to further improve on your knowledge base.
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Question Answering excels at interpreting natural language queries, providing users with relevant answers and enhancing overall user experience.
There is nothing to dislike about Question Answering.
Question Answering addresses challenges related to accessing information more naturally. It benefits users by streamlining information retrieval, reducing the need for manual searches.