README.md

---
title: "Kubernetes RAG Assistant"
emoji: "🚀"
colorFrom: "gray"
colorTo: "blue"
sdk: "gradio"
sdk_version: "4.16.0"
app_file: "app.py"
pinned: false
---

# 🧠 Kubernetes RAG Assistant

A Retrieval-Augmented Generation (RAG) system that answers Kubernetes questions using **real documentation** with **citations**.

✔ Uses OpenRouter models  
✔ Vector search with embeddings  
✔ Live deployed app on Hugging Face

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### 🔍 How It Works
1️⃣ User asks a question  
2️⃣ Retriever fetches top document chunks  
3️⃣ LLM responds with verifiable citations  

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Created by **Prakyath01**