inkling / README.md
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Update short description in README for clarity on research discovery capabilities
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---
title: Inkling
emoji: 🌍
colorFrom: blue
colorTo: red
python_version: 3.1
sdk: gradio
sdk_version: 5.23.1
app_file: app.py
pinned: true
license: agpl-3.0
short_description: Use AI to find obvious research links in unexpected places.
datasets:
- nomadicsynth/arxiv-dataset-abstract-embeddings
models:
- nomadicsynth/research-compass-arxiv-abstracts-embedding-model
---
# Inkling: AI-assisted research discovery
[**Inkling**](https://nomadicsynth-research-compass.hf.space) is an AI-assisted tool that helps you discover meaningful connections between research papers β€” the kind of links a domain expert might spot, if they had time to read everything.
Rather than relying on superficial similarity or shared keywords, Inkling is trained to recognize **reasoning-based relationships** between papers. It evaluates conceptual, methodological, and application-level connections β€” even across disciplines β€” and surfaces links that may be overlooked due to the sheer scale of the research landscape.
This demo uses the first prototype of the model, trained on a dataset of **10,000+ rated abstract pairs**, built from a larger pool of arXiv triplets. The system will continue to improve with feedback and will be released alongside the dataset for public research.
---
## What it does
- Accepts a research abstract, idea, or question
- Searches for papers with **deep, contextual relevance**
- Highlights key conceptual links and application overlaps
- Offers reasoning-based analysis between selected papers
- Gathers user feedback to improve the model over time
---
## Why Inkling?
> Because the right connection is often obvious β€” once someone points it out.
Researchers today are overwhelmed by volume. Inkling helps restore those missed-but-meaningful links between ideas, methods, and fields β€” links that could inspire new directions, clarify existing work, or enable cross-pollination across domains.
---
## Status
Inkling is in **alpha** and under active development. The current model is hosted via Gradio, with a Hugging Face Space available for live interaction and feedback. Contributions, feedback, and collaboration are welcome.