Dialogflow vs QnA Maker

Overview

QnA Maker

Stacks23

Followers71

Votes0

Dialogflow

Stacks267

Followers667

Votes42

Dialogflow vs QnA Maker: What are the differences?

1. **Natural Language Understanding (NLU)**: Dialogflow utilizes Google's advanced NLU algorithms, providing more accurate and complex language understanding capabilities. QnA Maker, on the other hand, uses simpler pattern matching techniques, making it less effective in handling nuanced language queries. 2. **Flexibility in Responses**: Dialogflow allows for a more dynamic and customizable response generation through fulfillment code integration, enabling the creation of complex conversational scenarios. QnA Maker, in comparison, offers limited response flexibility, primarily providing static question-answer pairs. 3. **Integration and Deployment Options**: Dialogflow offers extensive integrations with various platforms and languages, facilitating seamless deployment across multiple channels such as websites, messaging apps, and voice assistants. QnA Maker has more limited integration options and functionality, suitable for simpler deployment requirements. 4. **Machine Learning Capabilities**: Dialogflow leverages machine learning models to continuously improve language understanding and conversation flow over time, resulting in more accurate and personalized responses. QnA Maker lacks sophisticated machine learning capabilities, leading to potential limitations in adapting and learning from user interactions. 5. **Training and Management Tools**: Dialogflow provides robust tools for training and managing conversational agents, including detailed analytics, versioning, and collaboration features. QnA Maker offers basic training and management tools, lacking advanced functionalities for monitoring and optimizing chatbot performance. 6. **Cost Structure**: Dialogflow's pricing is based on usage and features, offering both free and paid tiers with flexible pricing plans. QnA Maker follows a pay-as-you-go model with limited free usage, potentially leading to higher costs for extensive usage or advanced features.

In Summary, Dialogflow excels in NLU capabilities, flexibility in responses, integration options, machine learning capabilities, training tools, and cost structure compared to QnA Maker.

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Advice on QnA Maker, Dialogflow

Stefan

Jul 17, 2020

Needs advice

Hi, does anyone have recommendations for a chatbot framework? I am currently using Botpress, and I am not happy with it. The upside is: They pretty much have everything you can ask for in a bot solution, but the issue is: They did nothing right, the documentation is terrible, and you have this feeling of it falling apart at any time, which is what actually happened once.

My ideal solution would have:

Support for Messenger and web (should either have a website chat plugin or straightforward integration with a different one)
A visual builder (for none tech team members) | This is not a hard requirement though
A slick DX for building simple things like API calls or more advanced stuff.
We currently only have a "click bot," so no crazy NLP features required, but in the future a requirement

What I do not want:

I do not want a solution where "someone else" builds the bot for me

59.9k views59.9k

Comments

Detailed Comparison

QnA Maker	Dialogflow
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.	Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Statistics
Stacks 23	Stacks 267
Followers 71	Followers 667
Votes 0	Votes 42
Pros & Cons
No community feedback yet	Pros 18 Built-in conversational agents 7 Custom Webhooks 5 Great interface 5 Multi Lingual 4 OOTB integrations Cons 9 Multi lingual 2 Can’t be self-hosted
Integrations
Azure Bot Service Microsoft Bot Framework	No integrations available

What are some alternatives to QnA Maker, Dialogflow?

Engati

It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.

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.

Botpress

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo

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.

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.

Chatfuel

Send news, collect feedback, receive and answer questions and share content libraries — from GIFs to full business docs.

Flow XO

Everything you need to create and manage bots. Build powerful bots without code, bots work seamlessly across platforms, and we host, manage & scale your bots.

IBM Watson

It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Wit.ai

Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness.

Azure Bot Service

The Azure Bot Service provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage bots, all from one place.

Related Comparisons

Dialogflow vs QnA Maker: What are the differences?

In Summary, Dialogflow excels in NLU capabilities, flexibility in responses, integration options, machine learning capabilities, training tools, and cost structure compared to QnA Maker.

Dialogflow vs QnA Maker

Overview