---
license: mit
title: Hybrid RAG API
sdk: docker
colorTo: blue
pinned: false
---


# Hybrid RAG Retrieval API

**BM25 + E5 Embeddings | 93% Recall@10 | MRR=1.0 | MSc Data Science Thesis 2026**

## Live Endpoints

| Endpoint | Description |
|----------|-------------|
| `GET /` | API info and metrics |
| `POST /search` | Hybrid search |
| `GET /health` | Health check |
| `GET /docs` | Swagger UI |

## Example Request
```json
POST /search
{
  "query": "What is machine learning?",
  "method": "hybrid",
  "top_k": 5,
  "alpha": 0.7
}
```

## Key Results

- **93.0%** Recall@10 on MS MARCO
- **+11.4%** improvement over baseline
- **MRR = 1.0** (Perfect)
- **Optimal α = 0.70** (statistically proven, p=0.002)

## Links

-  [Live Demo](https://rohith2026-hybrid-rag-demo.hf.space)
-  [arXiv Paper](https://arxiv.org/abs/2507.18910)
-  [GitHub](https://github.com/RohithkumarReddipogula/AI-Powered-Rag-System)

**Built by Rohith Kumar Reddipogula | University of Europe for Applied Sciences, Potsdam**