Welcome
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Welcome to the Hexabot Documentation! Hexabot is a powerful and versatile open-source chatbot platform designed to simplify the creation and management of intelligent conversational chatbots. Whether you're a business owner seeking to automate customer interactions, an organization looking to engage your audience, or a developer wanting to integrate conversational AI into your applications, Hexabot provides the tools and flexibility you need.
Hexabot comes equipped with a comprehensive suite of features to empower your chatbot development:
Intuitive Visual Editor: Build complex conversation flows without coding using our drag-and-drop interface and a diverse library of pre-built blocks.
NLU Engine: Leverage state-of-the-art NLU technology to understand user intent, extract key information, and deliver personalized responses.
Flexible Deployment Options: Deploy your chatbots on various platforms, including Facebook Messenger, web widgets, and custom integrations.
Comprehensive Analytics and Reporting: Track key metrics, monitor chatbot performance, and gain valuable insights into user interactions.
And More: Discover a range of additional features, including user segmentation, content management, and third-party integrations.
This documentation is a valuable resource for:
New Users: Get started with Hexabot, learn the basics of chatbot creation, and build your first conversational chatbot.
Experienced Users: Explore advanced features, optimize your existing chatbots, and discover best practices for chatbot development.
Developers: Integrate Hexabot with your applications, leverage our APIs, and extend the platform's functionality by developing add-ons for Hexabot.
Administrators: Manage users, configure settings, and ensure the smooth operation of Hexabot within your organization.
To navigate this documentation effectively:
Search: Use the search bar to quickly find information on specific topics or keywords.
Navigation: Browse through the table of contents to explore different sections and find the information you need.
Links: Follow links to related articles and resources for in-depth explanations and examples.
Feedback: We encourage you to provide feedback and suggestions for improvement. Your input helps us make this documentation even better.
If you encounter any issues or have questions not addressed in this documentation, our dedicated support team is here to assist you. Please contact us at
