Update README.md

README.md

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 hf_oauth_expiration_minutes: 480
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+
+# 🧠 AI RAG Agent - Final Project (LangGraph + Supabase)
+
+This project is a Retrieval-Augmented Generation (RAG) agent built using **LangGraph**, **LangChain**, and **Supabase** as a vector store.  
+It allows users to query a custom knowledge base hosted in their own Supabase instance.
+
+---
+
+## 📋 Features
+
+- 🔎 RAG: Use your Supabase + FAISS for retrieval
+- 🤖 LLM-powered: Gemini or other models via LangChain
+- 🌐 Optional web search fallback (Tavily or Arxiv)
+- 🔒 Keep your API keys secure with private `.env`
+
+---
+
+## 🚀 How to Use
+
+### 1. Clone this Space
+
+Click the **"Duplicate Space"** button at the top-right to create your own copy.
+
+---
+
+### 2. Configure `.env` Variables
+
+Inside your cloned Space, go to the **"Files"** tab, create a file named `.env`, and add the following variables:
+
+```env
+SUPABASE_URL=your_supabase_url
+SUPABASE_SERVICE_KEY=your_supabase_service_key
+GOOGLE_API_KEY=your_google_api_key
+TAVILY_API_KEY=your_tavily_api_key  # optional if using Tavily tool
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference