Скачать или смотреть Build a LEGAL AI Assistant: End-to-End RAG with Azure & OpenAI

🚀 Build Your Own AI Legal Assistant! A Complete RAG System with Azure & OpenAI | Full Stack AI Tutorial

In this groundbreaking tutorial, I walk you through building a production-ready Legal Assistant AI application from scratch! This isn't just a demo—it's a complete, end-to-end Retrieval-Augmented Generation (RAG) system designed for lawyers, law firms, and anyone needing to query complex legal documents instantly.

⚖️ What This Project Does:
Imagine uploading a 1000-page legal statute, contract, or case file and getting accurate, sourced answers to your questions in seconds. This application does exactly that! It uses advanced AI to find relevant information from your uploaded documents and generates precise answers, saving hours of manual research.

✨ Key Features We Build:

Document Processing: Upload and process PDFs, TXT files, and more.

Advanced RAG Pipeline: We implement Retrieval-Augmented Generation for accuracy, ensuring the AI's answers are grounded in your provided legal texts.

Powerful AI Backend: Leveraging Azure OpenAI for both the LLM (like GPT-4) and text embeddings for superior semantic search.

Beautiful Web Interface: Built with Streamlit for a clean, professional, and user-friendly frontend.

Performance Monitoring: Integrated logging to monitor the app's performance and query accuracy.

🛠 Tech Stack:

Programming Language: Python

Web Framework: Streamlit

Cloud & AI Services: Microsoft Azure, Azure OpenAI Service (GPT & Embeddings)

Libraries: LangChain, FAISS, PyPDF2, and more.

📁 GET THE CODE & DEPLOY YOURSELF:
All the code is available for you to download and use. Perfect for portfolio projects, startups, or enhancing your firm's productivity.

Step-by-Step Guide:

Download the code from the link below.

Open the project in VS Code.

Install dependencies from requirements.txt.

Create your models on Azure OpenAI (as shown in the video).

Copy your API keys and run the application!


⬇️ Download the Source Code & Requirements.txt: https://github.com/AdeelHamid/Legal-A...

📈 Who Is This For?

AI Enthusiasts & Developers looking to build advanced RAG applications.

Lawyers & Legal Professionals interested in legal tech innovation.

Python Developers wanting to skill up with Azure OpenAI and Streamlit.

Students building an impressive portfolio project.

🌐 Let's Work Together:
I provide AI-powered application development services. If you need a custom solution for your business, let's connect!

Hire Me / My Team: www.skillihire.com

Email for Proposals: [email protected]

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   / @adeelhamid  

Connect with me:
Website: https://www.skillihire.com
Email: [email protected]

Chapters:
0:00 - Intro & Demo of the Legal AI Assistant
2:15 - What is RAG? Why it's perfect for Legal AI
5:00 - Project Setup and Installation
10:30 - Configuring Azure OpenAI Resources
15:45 - Building the Document Processing System
18:10 - Creating the Embeddings & Vector Store
20:00 - Building the RAG Query Chain with LangChain
25:20 - Designing the Streamlit UI
35:00 - Adding Advanced Features and Logging
38:15 - Full Demo: Testing with Legal Documents
42:00 - Deployment Tips and Next Steps

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