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Download A Powerful Tool for Conversational AI

How to Download A Guide for Developers is a platform that enables developers to build applications that users can talk to or text to. uses an extensible natural language platform that empowers developers to build those applications. learns human language from every interaction and leverages the community. What's learned is shared across developers, so you don't have to start from scratch when building your bot.



In this article, we will show you how to download and use it to create your own conversational applications. We will also cover some of the features, benefits, use cases, and examples of, as well as some of the alternatives and competitors you can explore if you want to compare different chatbot frameworks.

What is and Why Use It? is an open source chatbot framework that began as a Y Combinator startup. Its name is a testament to its greatest strengthparsing nuanced user utterances and returning valuable, well-informed responses. To do that, a framework needs highly capable natural language processing (NLP), which has always been (and still is)'s biggest advantage.

Facebook acquired the company in 2015, but remains an open source project. Developers building bots with do so with open source code and even open apps. That way, other developers can fork any app and don't need to start from scratch when building their bot. For example, you won't have to painstakingly teach your bot the basics of human conversation. If a developer has already used to teach their bot to respond to hello (and someone definitely has), lets you immediately inject your bot with that intelligence.

Interestingly, in its own product literature, doesn't refer to itself as a "chatbot framework." Instead, it bills itself as a toolkit for "building applications and devices that you can text or talk to." The emphasis is on the natural language engine powering the conversationsnot on as a framework for building bots. Needless to say, nearly any app you build that responds to text or spoken language using text or spoken language fits the definition of chatbot. helps you build bots, plain and simple. Features and Benefits

Some of the features and benefits of using are:

  • It's free and open source. You can use it without any limitations or fees.

  • It's easy to use. You can create your bot using a web interface or an API.

  • It's flexible and extensible. You can customize your bot with your own code and logic.

  • It's powerful and scalable. You can handle complex user queries and intents with NLP.

  • It's community-driven and collaborative. You can learn from other developers and share your knowledge. Use Cases and Examples can be used for a variety of use cases and platforms. Some of the examples are:

  • Bots for social channels, such as Facebook Messenger, Telegram, Slack, etc.

  • Bots for mobile apps, such as iOS, Android, React Native, etc.

  • Bots for websites, such as WordPress, Shopify, etc.

  • Bots for IoT devices, such as smart speakers, wearables, etc.

  • Bots for voice assistants, such as Alexa, Google Assistant, Siri, etc.

  • Bots for games, such as trivia, adventure, etc.

Some of the successful bots that use are:

  • , a bot that helps you find and book flights.

  • , a bot that helps you manage your Facebook pages.

  • , a bot that gives you weather forecasts and tips.

  • , a bot that guides you through meditation and mindfulness exercises.

  • , a bot that helps you make decisions by crowdsourcing opinions.

How to Get Started with

Getting started with is easy and fast. You only need a few steps to create your first bot and start testing it. Here are the steps you need to follow:

Create an Account and a Project

To use, you need to create an account on their website. You can sign up with your email address or your Facebook account. Once you have an account, you can create your first project. A project is a container for your bot and its data. You can give your project a name and a description, and choose the language you want to use for your bot. You can also choose a template for your project, which will provide you with some predefined intents and entities to get you started. Alternatively, you can start from scratch and create your own intents and entities.

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Teach Your Bot Intents and Entities

An intent is what the user wants to achieve with their message. For example, if the user says "I want to book a flight", the intent is booking_flight. An entity is a piece of information that is relevant to the intent. For example, if the user says "I want to book a flight from New York to London on July 15th", the entities are from_location (New York), to_location (London), and date (July 15th). allows you to define your own intents and entities, or use the ones provided by the platform or the community. You can also use built-in entities, such as wit/number, wit/datetime, wit/location, etc., which are pre-trained by to recognize common types of data.

To teach your bot intents and entities, you need to provide it with some sample user utterances and annotate them with the corresponding intents and entities. For example, if you want to teach your bot how to handle booking_flight intent, you can provide it with sentences like "I want to book a flight", "How can I book a flight?", "Book me a flight", etc., and label them with booking_flight intent. You can also highlight the words or phrases that represent entities and label them with the appropriate entity type. For example, you can highlight "New York" and label it as from_location entity. will learn from your examples and generate more variations of user utterances based on them.

Test and Train Your Bot

Once you have taught your bot some intents and entities, you can test it using the web interface or the API. You can type or speak any user utterance and see how your bot responds. You can also see the confidence score of your bot's response, which indicates how sure it is about its interpretation. If your bot makes a mistake or doesn't understand something, you can correct it by providing feedback. You can either change the intent or entity labels, or add new ones if needed. will use your feedback to improve its understanding and accuracy over time. How to Download SDKs and Tools

After you have created and trained your bot, you can download SDKs and tools to integrate it with your application or device. provides SDKs and tools for various languages and platforms, such as Python, Node.js, Ruby, Java, C#, iOS, Android, Raspberry Pi, etc. You can also use with other frameworks and services, such as Dialogflow, Botkit, Rasa, etc.

Choose Your Preferred Language and Platform

To download SDKs and tools, you need to choose the language and platform that suits your needs and preferences. You can find the list of available SDKs and tools on the for more details and examples on how to use them.

Follow the Installation Instructions

Once you have chosen your language and platform, you need to follow the installation instructions for the SDK or tool you want to use. The instructions may vary depending on the language and platform, but generally they involve downloading or cloning the repository, installing the dependencies, and setting up the configuration. You can find the installation instructions on the README file of each SDK or tool on GitHub.

Run Your Bot Locally or Deploy It Online

After you have installed the SDK or tool, you can run your bot locally or deploy it online. To run your bot locally, you need to use your terminal or command prompt and execute the appropriate command for your language and platform. For example, if you are using P


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