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Dialogflow

187
427
+ 1
28
QnA Maker

20
50
+ 1
0
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Dialogflow vs QnA Maker: What are the differences?

Developers describe Dialogflow as "Give users new ways to interact with your product by building engaging voice and text-based conversational apps". Give users new ways to interact with your product by building engaging voice and text-based conversational apps. On the other hand, QnA Maker is detailed as "Build, train and publish a simple question and answer bot based on FAQ URLs (by Microsoft)". Compatible across development platforms, hosting services, and channels, QnA Maker is the only question and answer service with a graphical user interface—meaning you don’t need to be a developer to train, manage, and use it for a wide range of solutions.

Dialogflow and QnA Maker can be primarily classified as "Chatbot Platforms &" tools.

Pros of Dialogflow
Pros of QnA Maker
  • 13
    Built-in conversational agents
  • 6
    Custom Webhooks
  • 4
    Great interface
  • 2
    Knowledge base
  • 2
    OOTB integrations
  • 1
    Quick display
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    Cons of Dialogflow
    Cons of QnA Maker
    • 6
      Multi lingual
    • 1
      Can’t be self-hosted
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      What is Dialogflow?

      Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

      What is QnA Maker?

      Compatible across development platforms, hosting services, and channels, QnA Maker is the only question and answer service with a graphical user interface—meaning you don’t need to be a developer to train, manage, and use it for a wide range of solutions.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Dialogflow?
      What companies use QnA Maker?
        No companies found

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        What tools integrate with Dialogflow?
        What tools integrate with QnA Maker?

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        What are some alternatives to Dialogflow and QnA Maker?
        Amazon Lex
        Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
        Microsoft Bot Framework
        The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
        IBM Watson
        It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.
        TensorFlow
        TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
        Telegram Bot API
        Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.
        See all alternatives
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