---
language: en
tags:
- neuro-symbolic
- search
- information-retrieval
license: apache-2.0
---

# Neuro-Symbolic Search Model

A hybrid search system combining neural embeddings with symbolic reasoning.

## Features

- 🧠 Neural semantic search using sentence transformers
- 🔧 Symbolic rule-based filtering  
- 🚀 Fast and lightweight
- 📊 Supports metadata filtering

## Quick Start

```python
from model import SimpleNeuroSymbolicSearch

# Initialize
search = SimpleNeuroSymbolicSearch()

# Index documents
documents = ["Document 1", "Document 2", "Document 3"]
metadata = [
    {'topic': 'ai', 'level': 'beginner'},
    {'topic': 'ml', 'level': 'advanced'},
    {'topic': 'ai', 'level': 'intermediate'}
]

search.index_documents(documents, metadata)

# Search with filters
results = search.search("artificial intelligence topic:ai", top_k=5)

for r in results:
    print(f"{r['rank']}. {r['document']} (score: {r['score']:.3f})")
```

## Search Syntax

- **Simple search:** `machine learning`
- **With filters:** `machine learning topic:ml level:beginner`
- **Boolean operators:** `data science topic:ml AND level:advanced`

## Model Details

- **Base Model:** all-MiniLM-L6-v2
- **Embedding Dimension:** 384
- **Search Method:** Cosine Similarity + Rule Filtering

## Requirements

```
torch>=2.0.0
sentence-transformers>=2.2.0
transformers>=4.30.0
```

## Citation

```bibtex
@misc{neuro-symbolic-search-2025,
  title={Simple Neuro-Symbolic Search},
  author={Your Name},
  year={2025},
  url={https://huggingface.co/YOUR_USERNAME/neuro-symbolic-search}
}
```