Add search bar UI to Resources tab - #571
Open
kmiyberk28-afk wants to merge 5 commits into
Open
kmiyberk28-afk wants to merge 5 commits into
kmiyberk28-afk wants to merge 5 commits into
Conversation
Devansh-Ojha
self-requested a review
July 29, 2026 04:15
Collaborator
|
LGTM! |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
The resources tab contains different links grouped into subgroups within three categories: "Wellbeing", "Campus Life", and "Academics".
To help users better find links, we would like to add a search bar that not only show results based on matching the exact text but also intelligently surface results based on a natural language search query.
For example, "What activities can I do around campus?" and it can suggest the "Events and Attractions" subgroup under "Campus Life". This cannot be done through regular string text matching and requires natural language understanding.
We will first start with a basic search query functionality based on matching text, then implement natural language results through an on-device LLM (Apple's Foundational Models). feature #528