Problem
New contributors often need to read through multiple documentation pages to understand Volcano concepts, architecture, and workflows. Finding the right information can be time-consuming, especially for first-time contributors.
Proposed Solution
Add an “Ask AI” assistant to the Volcano website that allows users to ask questions in natural language and receive answers based on the official Volcano documentation.
Examples:
- “What is a Queue in Volcano?”
- “How do I deploy Volcano on Kubernetes?”
- “How does the scheduler work?”
- “How can I start contributing to Volcano?”
Benefits
- Lowers the learning curve for new contributors.
- Makes documentation more accessible through a conversational interface.
- Helps users quickly understand Volcano concepts without manually searching through the docs.
- Encourages more community engagement and contributions.
Possible Implementation
- Integrate an LLM with Retrieval-Augmented Generation (RAG) using the Volcano documentation as the knowledge base.
- Include source links in responses so users can easily navigate to the relevant documentation for more details.
- Add an “Ask AI” button in the website navigation or as a floating chat widget.
Problem
New contributors often need to read through multiple documentation pages to understand Volcano concepts, architecture, and workflows. Finding the right information can be time-consuming, especially for first-time contributors.
Proposed Solution
Add an “Ask AI” assistant to the Volcano website that allows users to ask questions in natural language and receive answers based on the official Volcano documentation.
Examples:
Benefits
Possible Implementation