Create a RAG Agent for KaibanJS Documentation to Advise and Code AI Agents

[dannleft]

Is your feature request related to a problem? Please describe.
KaibanJS users, especially those unfamiliar with JavaScript, may face challenges when learning to configure and manage multi-agent systems. Providing them with direct support within the documentation could significantly improve their experience. Having an interactive, AI-powered assistant that knows the framework deeply and can generate code in real-time would make the learning curve smoother and increase engagement with the tool.

Describe the solution you'd like
I propose creating a Retrieval-Augmented Generation (RAG) agent specifically trained to understand and advise on KaibanJS. This agent would:

1. Assist users by answering questions about the framework.
2. Generate working code snippets for configuring agents, tasks, and workflows.
3. Provide real-time help embedded as a chatbot in the /documentation section, allowing users to query and interact with the agent directly.

Describe alternatives you've considered

• Using static documentation with sample code only.
• Hosting external tutorials or videos.
• Community Q&A or forums to address questions.
  However, none of these provide the dynamic, in-context help that an intelligent agent could offer.

Additional context
This RAG agent could be trained on the KaibanJS documentation and codebase, ensuring that it has an in-depth understanding of the framework’s features. It could be especially useful for guiding users through common workflows, troubleshooting, and helping them set up their own agents.

[OdinSweng]

Great proposal! Definitely, a RAG agent for KaibanJS would be very useful. The idea of having an AI assistant that can generate code and answer questions directly in the documentation sounds excellent