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README.md

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+---
+title: Groq RAG Assistant
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: "5.29.0"
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# 🧠 Groq RAG Assistant
+
+A fully local RAG (Retrieval-Augmented Generation) chatbot that lets you upload documents and ask questions about them.
+
+## Features
+- 📄 Supports **PDF**, **DOCX**, and **TXT** files
+- 🧠 Local embeddings via `sentence-transformers` (`all-MiniLM-L6-v2`)
+- 🗄️ Vector storage via **ChromaDB** (stored in `/tmp`)
+- ⚡ Fast LLM inference via **Groq** (`llama3-8b-8192`)
+
+## Setup
+
+1. Fork / duplicate this Space.
+2. Go to **Settings → Variables and secrets**.
+3. Add a secret named `GROQ_API_KEY` with your key from [console.groq.com](https://console.groq.com).
+4. Restart the Space — you're ready to go!
+
+## How to use
+
+1. Upload one or more PDF / DOCX / TXT files in the left panel.
+2. Click **🚀 Process Files** and wait for the confirmation message.
+3. Type your question in the chat box and hit **Send**.