> ## Documentation Index
> Fetch the complete documentation index at: https://docs.remyx.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Search
> Semantic search across papers, repos, models, and datasets with runnable Docker environments
**Nav:** Discover > Search | **URL:** [`/resources`](https://engine.remyx.ai/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.
```
retrieval augmented generation for customer support
```
Results appear in a card grid. Each card shows:
| 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 |
Resources with the **Runnable environment** badge have pre-built Docker images with dependencies installed and example scripts ready to run. These are the fastest path from discovery to experiment.
***
## 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 |
The **Runnable** tab filters to resources with verified Docker environments — useful when you want to test a technique immediately without environment setup.
***
## 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:
* Full abstract / README
* Resource links (arXiv, GitHub, HuggingFace)
* Citation count and categories
* Docker image reference (if available)
* Dockerfile contents (if available)
Ask questions about the resource in natural language. Responses stream in real-time and conversation history is preserved.
Example questions:
* "What's the main contribution compared to prior work?"
* "How would I adapt this for a 3B parameter model?"
* "What datasets did they use for evaluation?"
Highlight passages and add notes directly on the resource. Annotations help your team collaborate on ideas that emerge during review and carry context forward into experiments.
* **Highlights**: Select text to highlight key methods, results, or claims
* **Notes**: Add written observations, questions, or hypotheses to any highlight
* **Personal / Team mode**: Annotations can be private or shared with your team. In team mode, you can filter between your own annotations and those from teammates.
* **Experiment context**: When you create an experiment from an annotated resource, your annotations are carried forward. The hypothesis field is pre-filled from your notes, so the reasoning captured during review becomes part of the experiment record.
***
## Create Experiment from Search
From any resource detail view, click **Create Experiment** to start an experiment sourced from this resource. This:
1. Links the resource as the experiment's source
2. Pre-fills source metadata in the experiment record
3. Redirects to the experiment detail page where a [launch context](/platform/experiments/outcomes#origin-section) 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
Personalized daily recommendations
Create and track experiments from search results