GenAI For Mendix (Mx 9)
Overview
The starting point to create agentic apps, a Conversational UI - chatbot or just include GenAI text generation in your app. When you download this bundle you can:
- Integrate with any LLM and knowledge base through the included GenAI Commons module
- Create a Conversational UI by using the included pages & snippets
- Have prompt management at runtime to optimize your results
- Monitor your token consumption with the Token Consumption Monitor.
- Integrate directly with Mendix Cloud GenAI Models and Knowledge Bases
This module is 100% compatible with the Amazon Bedrock Connector or (Azure) OpenAI Connector to integrate with these platforms. When you download them, those models will be automatically detected and can be used in conjunction with this bundle. You can also implement your own connector to other models to integrate this with our GenAI capabilities.
Typical use cases:
- Create agentic apps and do intelligent automation by implementing function calling and the ReAct pattern
- Create conversational UI and create a chat interface for users to chat with Large Language Models (LLM). Use our pages for a full screen, sidebar, floating popup and history layout.
- Ground your model in data by connecting to Knowledge Bases and applying Retrieval Augmented Generation (RAG)
Examples that include this module.
- AI Bot Starter App
- Support Assistant Starter App
- RFP Assistant Starter App
- Blank GenAI App
For more information, visit the official documentation.
Contact Us
For support and questions, feel free to reach out via email: genai-components-feedback@mendix.com
Documentation
Documentation
Newest versions in Mendix Studio Pro 10.21.0:
- GenAI Commons
- Conversational UI
- Mendix Cloud GenAI Connector (MxGenAI Connector)
See official documentation:
- GenAI Commons
- Conversational UI
- Mendix Cloud GenAI Connector (MxGenAI Connector)
Dependencies
- Atlas Core
- DataWidgets v2.22.0 or higher
- Nanoflow Commons
- Web Actions
- Community Commons module v10.0.6 or higher
GenAI Showcase app
For implementation examples, see the GenAI showcase app.