Update README.md

README.md

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-# Kubernetes RAG Assistant 🤖
-
-A Retrieval-Augmented Generation (RAG) system that answers highly specific Kubernetes questions using official documentation.
+---
+title: "Kubernetes RAG Assistant"
+emoji: "🚀"
+colorFrom: "gray"
+colorTo: "blue"
+sdk: "gradio"
+sdk_version: "4.16.0"
+app_file: "app.py"
+pinned: false
+---
 
-🔹 Features:
-- Uses real Kubernetes docs as knowledge base
-- Citations included in every response
-- Deployed on Hugging Face 🚀
+# 🧠 Kubernetes RAG Assistant
 
----
+A Retrieval-Augmented Generation (RAG) system that answers Kubernetes questions using **real documentation** with **citations**.
 
-### How it works
-1️⃣ User asks a Kubernetes question  
-2️⃣ Relevant doc chunks are retrieved  
-3️⃣ LLM produces grounded answer with citations
+✔ Uses OpenRouter models  
+✔ Vector search with embeddings  
+✔ Live deployed app on Hugging Face
 
 ---
 
-### Tech stack
-- LangChain (Retrieval)
-- OpenRouter API (LLM)
-- Sentence Transformers (Embeddings)
-- Gradio (UI)
-- Hugging Face Spaces (Deployment)
+### 🔍 How It Works
+1️⃣ User asks a question  
+2️⃣ Retriever fetches top document chunks  
+3️⃣ LLM responds with verifiable citations  
 
 ---
 
-🎯 Created by Prakyath01
+Created by **Prakyath01**