Explore the key concepts of ChatBotKit, a state-of-the-art platform for developing conversational AI systems. Learn about backstories, models, stores, bots, datasets, skillsets, conversations, and integrations. Unleash the full potential of ChatBotKit to design intuitive and impactful chatbots.

Introduction

Learn about the importance of backstories in chatbot development and how they contribute to creating engaging and personalized experiences for users. Discover how multilingual chatbots can benefit from customized backstories and how conversation preempting can set the tone for conversations.

Backstories

ChatBotKit supports a variety of models for generating responses, including OpenAI models such as the Davinci and Curie family, and in-house models such as text-algo-001 and text-algo-002.

Models

Learn about ChatBotKit's stores, an abstract storage class for efficient and organized storage and retrieval of data. Choose between Ada Sprout and Ada Loom depending on the size of your dataset.

Stores

Learn how to create a bot with ChatBotKit, a platform that simplifies bot creation and empowers users to unlock the full potential of conversational AI technology. Follow a step-by-step guide to create a bot with unique configurations, including backstory, dataset, skillset, model, privacy, and moderation settings. Make your bot creation public and start building your own tangible chatbot solutions.

Bots

Overview of what datasets are and how they can be used in chatbot conversations. Learn how to add contextual information to your chatbot.

Datasets

Overview of how chatbot Skillsets and Skillset instructions work. Learn how to customize your chatbot's abilities and improve its performance.

Skillsets

Overview of what conversations are and how they work. Learn how to build build your own conversation flow using the ChatBotKit API.

Conversations

Learn how to set up and use webhooks within ChatBotKit to automate workflows and integrate different services. This section covers step-by-step setup, event selection, and validating incoming webhook requests using the X-Hub-Signature header.

Webhooks

Overview of ChatBotKit's integrations with Slack and the widget. Learn how to integrate ChatBotKit with a platform of your choice.

Integrations

Learn how to integrate ChatBotKit's widget onto your website to enhance user experience. Easily customize the widget to fit your needs with various options.

Widget

Learn how to integrate ChatBotKit with Slack and deploy chatbots on the platform. This guide provides step-by-step instructions, including how to interact with your ChatBotKit Slack bot, advanced setup details, troubleshooting tips, and more.

Slack

Learn how to easily integrate ChatBotKit with Discord and access a wide range of conversational AI functionalities directly within the popular messaging and collaboration platform for gamers and communities. Follow our step-by-step guide to get started.

Discord

Learn how to easily integrate your chatbot with WhatsApp using ChatBotKit. Our step-by-step guide will show you how to set up your integration and connect with your audience on WhatsApp.

WhatsApp

Integrate ChatBotKit with your Facebook Messenger to deploy powerful conversational AI and engage effectively with your Messenger audience.

Messenger

Integrate ChatBotKit with your Telegram bot to create powerful conversational AI chatbots. Engage effectively with your Telegram audience. Follow the steps to set up your bot on Telegram and integrate it with ChatBotKit.

Telegram

Learn how to import a website's information into your dataset with ChatBotKit's Sitemap feature. Automatically summarise long pages using AI, and access important information easily from your chatbot.

Sitemap

Learn how to integrate ChatBotKit with Notion and deploy chatbots on the platform. This guide provides instructions set up and interact with your Notion bot.

Notion

Learn how to integrate your AI chatbot with support systems such as Zendesk, Intercom, and email groups using ChatBotKit. Automatically extract customer details and provide real-time assistance to customers.

Support

Learn how to use the Data Extraction integration in ChatBotKit to extract contextually relevant information from conversations. This integration facilitates efficient data usage in customer support, transcriptions, and data analytics, empowering AI chatbots to autonomously interact with users and enrich conversation metadata.

Extract

The ChatBotKit Zapier integration, which allows you to automate processes and improve efficiency by connecting ChatBotKit with other applications. Learn about the key benefits, getting started, and available actions to streamline your workflows and enhance your interactions with customers.

Zapier

Overview of ChatBotKit Playgrounds. Learn how to use Playgrounds to build advanced conversation AI chatbots.

Playgrounds

Learn about the advanced content moderation features provided by ChatBotKit to ensure the safety and integrity of bot-user interactions. Enable content scanning, language detection, and automatic refusal to protect against harmful and inappropriate content.

Moderation

The following document outlines the privacy features of ChatBotKit. Learn about ChatBotKit’s encryption, anonymity and entity handling.

Privacy

Overview of the ChatBotKit Primers. Learn how to create conversational AI chatbots using ChatBotKit API and 3rd-party frameworks.

Primers

Discover the diverse range of ChatBotKit Apps available, offering tailored solutions to enhance the core functionalities of the ChatBotKit platform. From general-purpose chatbots to personalized fashion recommendations and interactive history lessons, explore how these specialized applications can transform your interaction with ChatBotKit.

Apps

Join ChatBotKit's affiliate program and earn a 20% commission on referrals for the first 12 months. Access marketing materials, support, and promote a reliable chatbot service.

Affiliates

The ChatBotKit API is a powerful tool for developers looking to integrate conversational AI functionality into their applications. This documentation provides a comprehensive guide to understanding and utilizing the various endpoints and features offered by the API.

ChatBotKit Node SDK allows developers to build conversational AI interfaces and chatbots. Read on to learn how to install and use the SDK, along with its authentication, pagination, and error handling features.

Node SDK

Explore various aspects of security, including compliance, encryption, privacy, and more. Discover how ChatBotKit ensures the security of your data and protects your privacy. Learn about security testing, compliance protocols, privacy features, encryption standards, monitoring systems, incident response, authentication and authorization, data residency, data retention, and continuous improvement.

Security

Learn about the Partner API offered by ChatBotKit, a powerful tool for developing Software as a Service (SaaS) solutions. Discover how the Partner API simplifies SaaS development by providing unique sub-accounts with customizable configurations and restrictions. Explore the key features, integration capabilities, and the process of getting started with the ChatBotKit Partner API. Join us in the era of SaaS development and unleash the power of conversational AI.

Partner

This glossary provides definitions for key terms related to conversational AI, including conversational AI, AI bots, chatbots, RAG, AI, machine learning, deep learning, GPT, LLM, transformer models, intent recognition, entity recognition, dialogue management, and sentiment analysis and more.

Glossary


[Bots](/docs/bots) are the heart and soul of [ChatBotKit](/docs). They are tangible [conversational AI](/docs/glossary#conversational-ai) solutions that are designed and crafted by users of the platform. With ChatBotKit, bot creation becomes simple, allowing users to create various bots, each tailored with unique configurations, to unlock the full potential of conversational [AI](/docs/glossary#ai) technology.


## How to create a Bot


The bot creation process is easy. Here is a step by step guide:

1. Click on the [Create Bot](/bots/new) button.
2. Provide optional name and description.
3. It is important to create your own [Backstory](/docs/backstories) for your bot.
4. You can associated a [dataset](/docs/datasets) and a [skillset](/docs/skillsets) with your bot.
5. Under the advance options you can configure the bot [model](/docs/models), as well as other settings to control the [privacy](/docs/privacy) and [moderation](/docs/moderation) capabilities.
6. Finally you can also make your bot creation public.

![](/api/asset/video/b08b99d4-722a-409c-becd-05c65bb597dd)

