Hugging Face's logo

Spaces:
JenishMakwana
/
RAG
Running

App Files Community
RAG / README.md
JenishMakwana's picture
JenishMakwana
Add Hugging Face Space metadata to README.md
025a163
preview code
|
Raw
History Blame Contribute Delete
2.6 kB
metadata 
title: Legal Case Law RAG
emoji: ⚖️
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false

Legal Case Law RAG Assistant ⚖️

A professional, high-performance Retrieval-Augmented Generation (RAG) platform tailored for legal researchers. This application combines state-of-the-art LLMs with a proprietary legal search engine to provide precise, citation-backed analysis of case law.

🌟 Key Features

  • Legal-Specific RAG: High-fidelity retrieval utilizing Qdrant and specialized legal embeddings (InLegalBERT).
  • Parent-Child Chunking: Maintains document context while allowing for granular retrieval of specific legal clauses.
  • Premium Voice Experience:
    • Seamless TTS Highlighting: Real-time "karaoke-style" word highlighting synchronized with audio playback.
    • Kokoro-82M Engine: Ultra-natural, low-latency speech generation.
    • Citation Filtering: Audio automatically skips citations and Markdown symbols for a clean listening experience.
  • Streaming Intelligence: Multi-document analysis with real-time response streaming and deterministic citations.
  • Modern Architecture:
    • Backend: FastAPI with async execution and JWT security.
    • Frontend: React-based Glassmorphism UI with persistent session management.

🛠️ Technology Stack

  • Python: 3.12.10
  • Vector Store: Qdrant (Persistent Storage)
  • Frameworks: FastAPI, React.js (Vite)
  • AI Models: Gemini 2.0/2.5, Groq (Llama 3)
  • Audio Stack: Kokoro-82M (TTS), Qwen-ASR (Speech Recognition)

🚀 Getting Started

Prerequisites

  • Python 3.12+
  • Node.js & npm
  • Qdrant Instance (Local or Cloud)

1. Backend Setup

  1. Create and activate a virtual environment:
    python -m venv myenv
myenv\Scripts\activate
  2. Install dependencies:
    pip install -r requirements.txt
  3. Configure your keys:
    • Copy .env.example to .env.
    • Fill in your GEMINI_API_KEY or GROQ_API_KEY.
  4. Run the server:
    cd backend
uvicorn app.main:app --reload

2. Frontend Setup

  1. Navigate to the frontend:
    cd frontend-react
  2. Install & Start:
    npm install
npm run dev

📂 Project Organization

  • /backend: FastAPI source code and local data/vector storage.
  • /frontend-react: React application source and styling.
  • /requirements.txt: Unified dependency list with critical version locks.
  • /.env.example: Clean template for environment configuration.

License: Internal Project / Proprietary