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title: README
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  <h1>SightAndCite</h1>
  <p><b>Retrieval that sees the structure and cites the evidence.</b></p>
  <p>Open research on retrieval-augmented generation (RAG), chunking, multi-hop reasoning and efficient LLM systems.</p>
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## 🔭 Featured: SpectRAG

**Stop retrieving chunks. Start retrieving context.**
SpectRAG replaces independent top-k ranking with **context-set selection** over a weighted chunk graph and its Laplacian spectrum. It returns evidence that is relevant, diverse and connected, all under a fixed token budget.

<a href="https://huggingface.co/spaces/sightandcite/SpectRAG">
  <img src="https://huggingface.co/spaces/sightandcite/SpectRAG/resolve/main/assets/01_hero_topk_vs_spectrag.gif" alt="Classic top-k retrieval finds 1 of 3 gold passages; SpectRAG finds 3 of 3" width="100%">
</a>

| | |
|---|---|
| 📄 **Paper** | [arXiv:2610.36991](https://arxiv.org/abs/2610.36991) · 🤗 [Paper page](https://huggingface.co/papers/2610.36991) |
| 🎬 **Visual walkthrough** | [sightandcite/SpectRAG](https://huggingface.co/spaces/sightandcite/SpectRAG) |
| 📊 **Evaluation results** | [sightandcite/SpectRAG-eval-results](https://huggingface.co/datasets/sightandcite/SpectRAG-eval-results) |
| 💻 **Code (MIT)** | [github.com/SightAndCite/SpectRAG](https://github.com/SightAndCite/SpectRAG) |

**Highlights on MultiHopRAG & UltraDomain**
- **91.8%** overall gold-evidence recall (next best 76.1%)
- **95.1%** exact match on inference questions
- **~6× smaller index** than LightRAG (46 MB vs 274 MB)
- LLM judges prefer SpectRAG's answers for **diversity** against every baseline

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## 🧭 What we work on

- **Retrieval-augmented generation:** context-set selection, hybrid retrieval, graph-based RAG
- **Chunking:** structure-aware and semantic segmentation for long documents
- **Multi-hop systems:** recovering bridge evidence across chunks and documents
- **Efficient LLM pipelines:** distillation, lightweight indexes, fully local deployments

## 👥 Team

Zafer Sahinoglu · Abdulazeez Mohammed · Buse Yaren Kazangirler · Cahit Berkay Kazangirler

## 📬 Get in touch

Questions, ideas or a retriever that breaks in interesting ways? Open a discussion on the [paper page](https://huggingface.co/papers/2610.36991) or an issue on [GitHub](https://github.com/SightAndCite/SpectRAG/issues).