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Amazon Lex

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Amazon Lex vs Dialogflow: What are the differences?

Both Amazon Lex and Dialogflow are popular conversational AI platforms that provide natural language processing capabilities. Let's discuss the key differences between Amazon Lex and Dialogflow.

  1. Pricing Model: Amazon Lex follows a pay-per-use pricing model, where customers are charged based on the number of requests made for conversation and speech recognition. On the other hand, Dialogflow provides a tiered pricing model, offering free access to a certain number of requests and then charging for additional usage based on the tier selected.

  2. Platform Integration: Amazon Lex is tightly integrated with other Amazon Web Services (AWS) products, allowing seamless integration with AWS Lambda for custom business logic and AWS Cognito for user authentication. Dialogflow, on the other hand, provides integration with a wide range of platforms including Google Cloud Platform, webhooks, and various messaging platforms such as Facebook Messenger and Slack.

  3. Language Support: While both platforms offer support for multiple languages, Dialogflow supports a broader range of languages compared to Amazon Lex. Dialogflow supports more than 30 languages, while Amazon Lex currently supports only 7 languages.

  4. Machine Learning Capabilities: Amazon Lex and Dialogflow have different approaches to machine learning capabilities. Amazon Lex provides pre-built models for certain domains like banking, booking, and information gathering, making it easier to develop chatbots in those domains. Dialogflow, on the other hand, offers a more flexible machine learning approach with built-in intents and entities, allowing developers to build custom models tailored to their specific use cases.

  5. Development Environment: Amazon Lex provides a native web-based graphical user interface (GUI) for designing and building conversational interfaces. On the other hand, Dialogflow offers a more extensive development environment with a web-based GUI, command-line interface (CLI), and a rich set of APIs, providing more flexibility to developers.

  6. Natural Language Understanding (NLU): Dialogflow is known for its advanced natural language understanding (NLU) capabilities, including support for entity recognition, sentiment analysis, and context handling. Amazon Lex also provides basic NLU features but is not as feature-rich as Dialogflow in terms of NLU capabilities.

In summary, Amazon Lex is a part of the AWS ecosystem and integrates seamlessly with other Amazon services, Dialogflow, developed by Google, offers a user-friendly environment with robust support for multiple platforms and a wide range of pre-built integrations.

Advice on Amazon Lex and Dialogflow
Needs advice
on
BotkitBotkitDialogflowDialogflow
and
rasa NLUrasa NLU

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

See more
Replies (1)
Samantha Delfin
Data Scientist at ArkusNexus · | 2 upvotes · 54K views
Recommends
on
DialogflowDialogflow

Dialogflow includes:

  • OOTB integration with Messenger and you may use the Web Demo integration provided to embed it to your website. For Messenger, you even have some responses such as image responses, card responses and for those that are not available you can use custom payload.
  • It has a very nice visual builder which can be easily used by non-technical builders.
  • Fulfillment allows you to easily integrate your APIs.

Coursera has a very nice two-week course to learn how to use it.

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Pros of Amazon Lex
Pros of Dialogflow
  • 9
    Easy console
  • 6
    Built in chat to test your model
  • 2
    Great voice
  • 2
    Easy integration
  • 1
    Pay-as-you-go
  • 18
    Built-in conversational agents
  • 7
    Custom Webhooks
  • 5
    Great interface
  • 5
    Multi Lingual
  • 4
    OOTB integrations
  • 2
    Knowledge base
  • 1
    Quick display

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Cons of Amazon Lex
Cons of Dialogflow
  • 6
    English only
  • 9
    Multi lingual
  • 2
    Can’t be self-hosted

Sign up to add or upvote consMake informed product decisions

What is 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.

What is Dialogflow?

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

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What companies use Amazon Lex?
What companies use Dialogflow?
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What tools integrate with Amazon Lex?
What tools integrate with Dialogflow?

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What are some alternatives to Amazon Lex and Dialogflow?
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.
Alexa
It is a cloud-based voice service and the brain behind tens of millions of devices including the Echo family of devices, FireTV, Fire Tablet, and third-party devices. You can build voice experiences, or skills, that make everyday tasks faster, easier, and more delightful for customers.
Amazon Polly
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
See all alternatives