/resources
Every AI team has a backlog of techniques they want to try but never have time to evaluate. The pace of change means what was best practice weeks ago may already be suboptimal, but scanning arXiv, GitHub, and HuggingFace manually doesn’t scale.
Search provides semantic search across research papers, GitHub repositories, HuggingFace models, and more, matched to what your team is building. Pre-built Docker environments let you test a technique in minutes instead of spending days on dependency setup.
Search Interface
Type a natural-language query into the search bar. Remyx runs hybrid retrieval (BM25 + dense vector + re-ranking) across its resource index and returns ranked results.| Element | Description |
|---|---|
| Title | Resource title with link to detail viewer |
| Authors | Author list (for papers) |
| Abstract | Truncated summary |
| Categories | arXiv categories or source tags |
| Runnable badge | Blue “Runnable environment” badge with Docker icon if a pre-built Docker image is available |
| Source indicators | Icons for GitHub, HuggingFace, Docker availability |
Filtering and Sorting
A toolbar appears above results after you search:| Control | What it does |
|---|---|
| Tabs | All (default), Runnable (Docker-ready only) |
| Sort | Relevance (default), Most Recent, Most Popular |
Personalized Suggestions
Authenticated Users
When you’re logged in and haven’t searched yet, the page shows:- Suggestion cards built from your experiment tags — topics you’ve already explored, surfaced as quick-search shortcuts
- “Relevant to your work” section with resources matched to your team’s experiment history
Anonymous Users
When not logged in, the page shows:- Trending suggestion cards populated from live search queries
- Recent resources section with highlights from the index
Resource Detail Viewer
Click View on any result to open the resource detail page:- Details
- Chat
- Annotations
- Full abstract / README
- Resource links (arXiv, GitHub, HuggingFace)
- Citation count and categories
- Docker image reference (if available)
- Dockerfile contents (if available)
Create Experiment from Search
From any resource detail view, click Create Experiment to start an experiment sourced from this resource. This:- Links the resource as the experiment’s source
- Pre-fills source metadata in the experiment record
- Redirects to the experiment detail page where a launch context generates automatically
Deep Research (Coming Soon)
The search bar includes a “Deep research” pill, a preview of the upcoming deep research agent that will synthesize multiple resources into comprehensive research reports.Related
Feed
Personalized daily recommendations
Outcomes
Create and track experiments from search results