| --- |
| title: Legora |
| emoji: ⚖️ |
| colorFrom: blue |
| colorTo: indigo |
| sdk: docker |
| app_port: 7860 |
| pinned: false |
| --- |
| |
| # Legora |
|
|
| Legora is an AI-powered Legal Retrieval-Augmented Generation (RAG) system designed to answer legal questions using semantic search, graph retrieval, and Large Language Models. |
|
|
| ## Features |
|
|
| - Retrieval-Augmented Generation (RAG) |
| - Semantic Search using Sentence Transformers |
| - Graph Retrieval using Neo4j |
| - Vector Search using Qdrant |
| - Google Gemini Integration |
| - Streamlit-based User Interface |
|
|
| ## Tech Stack |
|
|
| - Python |
| - Streamlit |
| - Sentence Transformers |
| - Transformers |
| - Qdrant |
| - Neo4j |
| - Google Gemini |
| - Docker |
|
|
| ## Environment Variables |
|
|
| Configure the following Secrets in your Hugging Face Space: |
|
|
| - `GEMINI_API_KEY` |
| - `QDRANT_URL` |
| - `QDRANT_API_KEY` |
| - `NEO4J_URI` |
| - `NEO4J_USERNAME` |
| - `NEO4J_PASSWORD` |
