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+# 🚀 GitSage – AI-Powered GitHub Repository Intelligence
+
+<h1 align="center">
+  <a href="https://github.com/CommunityOfCoders/Inheritance2k25">
+    CoC Inheritance 2025
+  </a>
+  <br>
+  GitSage: Code Confusion? We've Git You Covered
+</h1>
+
+<div align="center">
+By <b>Team GitSage</b>
+</div>
+
+---
+
+<details>
+<summary><b>Table of Contents</b></summary>
+
+- [Description](#-description)
+- [Links](#-links)
+- [Tech Stack](#-tech-stack)
+- [Progress](#-progress)
+- [Future Scope](#-future-scope)
+- [Applications](#-applications)
+- [Project Setup](#-project-setup)
+- [Team Members](#-team-members)
+- [Mentors](#-mentors)
+- [Why GitSage?](#-why-gitsage)
+
+</details>
+
+---
+
+## 📝 Description
+
+GitSage is an AI-powered repository intelligence system that enables users to:
+
+- Ask natural language questions about any GitHub repository  
+- Automatically generate structured documentation  
+- Compare two repositories intelligently  
+
+It solves the problem of developer onboarding and repository understanding using:
+
+- Retrieval-Augmented Generation (RAG)
+- Code + text embeddings
+- Persistent vector database search
+- Large Language Models for reasoning
+
+GitSage transforms raw source code into structured insights.
+
+---
+
+## 🔗 Links
+
+- 🔗 **GitHub Repository** – [Explore GitSage](https://github.com/RudrakshiChincholkar/GitSage.git)
+- 🎥 **Demo Video** – [Watch the Demo](https://drive.google.com/file/d/11Nk_ZAYHYgAbM3OW31i5-8UEXWJPHPZ5/view?usp=drive_link)
+- 🖼 **Screenshots** – [View Project Gallery](https://drive.google.com/drive/folders/1v6kbEnOcbywVCAgcLQpSavP6xt5LLqrx)
+
+
+---
+
+# 🤖 Tech Stack
+
+---
+
+## 🏗️ System Architecture
+
+```mermaid
+graph LR
+    A[User Input] --> B[FastAPI Backend]
+    B --> C[Ingestion Pipeline]
+    C --> D[Embedding Pipeline]
+    D --> E[ChromaDB Vector Store]
+    E --> F[Retriever]
+    F --> G[LLM - Groq API]
+    G --> H[Final Response]
+
+```
+
+---
+
+## 🌐 Frontend
+
+- React (Vite)
+- TypeScript
+- Tailwind CSS
+- Lucide Icons
+- Responsive UI
+
+---
+
+## ⚙️ Backend
+
+- FastAPI
+- Python 3.11
+- Async ingestion pipeline
+- RESTful API architecture
+- Modular service design
+
+---
+
+## 🧠 AI / ML Layer
+
+- Retrieval-Augmented Generation (RAG)
+- Code embedding model
+- Sentence embedding model
+- Groq LLM API
+- Prompt engineering with hallucination control
+
+---
+
+## 🗄️ Database
+
+- ChromaDB (Persistent Vector Database)
+- Metadata-based filtering
+- Separate collections for code and text embeddings
+
+---
+
+# 📈 Progress
+
+---
+
+## ✅ Fully Implemented Features
+
+### 🔹 Intelligent Q&A System
+- Natural language repository queries  
+- Context-aware retrieval  
+- Grounded LLM responses  
+- Controlled inference without hallucination  
+
+### 🔹 Automatic Documentation Generator
+- Structured documentation generation  
+- Overview, architecture, modules  
+- Tech stack detection  
+- Setup and usage instructions  
+
+### 🔹 Repository Comparison Engine
+- Side-by-side metadata comparison  
+- LLM-based architectural analysis  
+- Strengths, trade-offs, verdict  
+- Feature comparison table  
+
+### 🔹 Version-Aware Ingestion
+- Detects repository updates  
+- Avoids redundant embeddings  
+- Maintains ingestion consistency  
+
+---
+
+## 🚧 Work in Progress
+
+- Advanced tech stack inference
+- AST-based deeper code analysis
+- Performance optimization for large repositories
+- Query caching system
+
+---
+
+# 🔮 Future Scope
+
+- Cloud deployment with scalable vector storage  
+- Multi-repository cross-analysis  
+- Visual architecture diagram generation  
+- Authentication & saved workspaces  
+- Enterprise-level CI/CD integration  
+
+---
+
+# 💸 Applications
+
+1. **Developer Onboarding** – Understand unfamiliar codebases quickly  
+2. **Open Source Exploration** – Analyze large repositories before contributing  
+3. **Code Review Support** – Gain instant architectural insights  
+4. **Academic Learning** – Explore algorithm-heavy repositories  
+5. **Technical Interviews** – Evaluate GitHub projects efficiently  
+
+---
+
+# 🛠 Project Setup
+
+## 📌 Prerequisites
+
+- Python 3.11+
+- Node.js 18+ and npm
+- Groq API Key
+- GitHub Personal Access Token (PAT)
+
+Create a `.env` file inside the `backend/` folder:
+
+```bash
+GROQ_API_KEY=your_groq_api_key
+GITHUB_PAT=your_github_pat
+```
+
+---
+
+## 1️⃣ Clone Repository
+
+```bash
+git clone https://github.com/your-username/GitSage.git
+cd GitSage
+```
+
+---
+
+## 2️⃣ Backend Setup
+
+```bash
+cd backend
+python3.11 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+uvicorn main:app --reload
+```
+
+Backend runs at:
+```
+http://127.0.0.1:8000
+```
+
+---
+
+## 3️⃣ Frontend Setup
+
+```bash
+cd frontend
+npm install
+npm run dev
+```
+
+Frontend runs at:
+```
+http://localhost:5173
+```
+
+---
+
+# 👨‍💻 Team Members
+
+- **Ankita Sagar** – https://github.com/Sagarankita  
+- **Rudrakshi Chincholkar** – https://github.com/RudrakshiChincholkar  
+
+---
+
+# 👨‍🏫 Mentors
+
+- **Soham Rane** – https://github.com/soham30rane
+- **Harshal Kamble** – https://github.com/xyz-harshal
+- **Sakshi Bhirud** – https://github.com/bsakshiii
+
+---
+
+# 💎 Why GitSage?
+
+- Modular AI architecture  
+- Persistent vector search  
+- Dual embedding pipeline  
+- Structured LLM reasoning  
+- Real-world developer problem solving  
+- End-to-end full-stack system  
+
+---
+
+⭐ Built with intelligence. Powered by code understanding.