https://github.com/aravinda-1402/legal-query-ai-assistant
Legal Query AI Assistant is a chatbot that leverages LLMs like OpenAI GPT and LLaMA, with RAG to retrieve and summarize legal documents efficiently.
https://github.com/aravinda-1402/legal-query-ai-assistant
chatbot gpt llm llm-training llma2 natural-language-processing natural-language-understanding openai-api python
Last synced: 7 months ago
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Legal Query AI Assistant is a chatbot that leverages LLMs like OpenAI GPT and LLaMA, with RAG to retrieve and summarize legal documents efficiently.
- Host: GitHub
- URL: https://github.com/aravinda-1402/legal-query-ai-assistant
- Owner: aravinda-1402
- Created: 2024-09-10T18:06:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-17T13:06:25.000Z (about 1 year ago)
- Last Synced: 2025-04-11T00:06:13.390Z (7 months ago)
- Topics: chatbot, gpt, llm, llm-training, llma2, natural-language-processing, natural-language-understanding, openai-api, python
- Language: Python
- Homepage:
- Size: 2.61 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ⚖️ Legal Query AI Assistant
## 📝 Overview
The **Legal Query AI Assistant** uses **Large Language Models (LLM)** and **Retrieval-Augmented Generation (RAG)** to offer quick, accurate legal responses. It retrieves and summarizes legal documents to assist in decision-making.
## ✨ Key Features
- 🔍 Supports **OpenAI GPT** or **LLaMA** for robust language understanding.
- 📄 Efficient legal document retrieval via **vector databases**.
- ⚙️ Combines **RAG** for precise responses.
- 💻 User-friendly interface for smooth interaction.
## 🚀 How to Use
1. Clone the repository.
2. Install dependencies: `pip install -r requirements.txt`.
3. Run the chatbot: `python app.py`.
4. Submit legal queries and get instant responses.
## 🛠️ Technologies
- LLM (OpenAI GPT / LLaMA)
- Vector Databases
- RAG
- Python
## 🔧 Installation
```bash
git clone https://github.com/your_username/legal-chatbot.git
cd legal-chatbot
pip install -r requirements.txt
python app.py