Enhance AI Knowledge Base with Blog Content

Description

The AI knowledge base currently sources its information from JSDoc comments and the learning guides defined in learn/tree.json. This provides a strong foundation but omits a valuable, often more current, source of information: the blog posts located in learn/blog.

This ticket proposes enhancing the knowledge base by including these blog posts in the AI's searchable content.

The Plan

1. Update learn/tree.json:

   • Dynamically read the contents of the learn/blog directory.
   • For each blog post, add a corresponding entry to the learn/tree.json file.
   • These new entries should be flagged with "hidden": true to prevent them from appearing in the main navigation UI of the learning center, while still making them available for parsing.

2. Verify Knowledge Base Integration:

   • Ensure the createKnowledgeBase.mjs script correctly parses these new, hidden entries from the updated tree.json.
   • After rebuilding the knowledge base (npm run ai:build-kb), confirm that blog content is being embedded and can be retrieved via queries.

Acceptance Criteria

• A script or manual process is in place to add blog posts from learn/blog to learn/tree.json with the "hidden": true flag.
• The createKnowledgeBase.mjs script successfully processes the hidden blog entries.
• Queries made via npm run ai:query can return blog posts as relevant source files.