The problem: Cursor's forum has tons of valuable content - feature discussions, troubleshooting threads, tips from power users - but it's hard to search. Traditional forum search is keyword-based and misses a lot of context.

The solution: I indexed the entire forum using Nia (a knowledge indexing service) and connected it to an AI agent with multiple search tools:

- Semantic search - finds relevant posts even when wording differs - Pattern search (grep) - exact matching for error messages, usernames, specific terms - Full thread reading - AI can dive deep into specific discussions - Web search fallback - for questions the forum doesn't cover

GitHub: https://github.com/nozomio-labs/nia-cursor-forum-search

Would love feedback on the approach!