Deploy: Use HF-specific README with metadata

README.md

@@ -1,154 +1,95 @@
-# Enterprise RAG Platform
+---
+title: Enterprise RAG Platform
+emoji: 🚀
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 5.49.1
+app_file: app/main.py
+pinned: false
+license: mit
+short_description: Document intelligence for Legal, Research, FinOps
+full_width: true
+---
 
-<div align="center">
+# Enterprise RAG Platform
 
 **Turn documents into answers. Instantly.**
 
-Upload contracts, research papers, or financial reports. Ask questions in plain English. Get precise, cited answers in seconds.
-
-[![Live Demo](https://img.shields.io/badge/🔴_LIVE-Try_Demo-blue?style=for-the-badge)](https://pkgprateek-ai-rag-document.hf.space/)
-[![Deploy](https://github.com/pkgprateek/ai-rag-document/actions/workflows/deploy-to-hf.yml/badge.svg)](https://github.com/pkgprateek/ai-rag-document/actions/workflows/deploy-to-hf.yml)
-[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
-[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
-
-<a href="https://pkgprateek-ai-rag-document.hf.space/">
-  <img src="assets/demo-screenshot.jpeg" alt="Enterprise RAG Demo" width="700"/>
-</a>
-
-</div>
+Upload contracts, research papers, or financial reports → Ask questions → Get cited answers in seconds.
 
 ---
 
-## The Problem
+## ✨ What's New
 
-Knowledge workers spend **2.5 hours daily** searching for information buried in documents. Legal teams review contracts manually. Researchers dig through papers. Finance teams hunt for clauses in agreements.
+- **Multi-document upload** — Process multiple files at once
+- **Streaming answers** — Watch responses generate in real-time
+- **Thinking indicator** — See "🔍 Analyzing documents..." before streaming starts
 
-## The Solution
+---
 
-**Enterprise RAG** eliminates that friction:
+## How It Works
 
 ```
-Upload documents → Ask questions → Get cited answers in <5 seconds
+📄 Upload → ✂️ Chunk → 🧠 Embed → 💬 Ask → ✨ Cited Answer
 ```
 
-No more Ctrl+F. No more reading 50 pages to find one clause. Just ask.
+**3 steps**: Upload your documents → Ask questions → Get answers with page citations.
 
 ---
 
-## Features
+## Try It Now
 
-| Feature | What You Get |
-|---------|--------------|
-| **Multi-document upload** | Process multiple files at once with batch progress |
-| **Streaming answers** | Watch answers generate in real-time with thinking indicator |
-| **Inline citations** | Every claim linked to source document + page number |
-| **3 AI models** | GPT-OSS 120B, Llama 3.3 70B, Gemma 3 27B |
-| **Session isolation** | Your documents are private to your session |
-| **Auto-cleanup** | Documents auto-deleted after 7 days |
+1. **Select a vertical** — Legal, Research, or FinOps samples pre-loaded
+2. **Or upload your own** — PDF, DOCX, TXT supported (batch upload enabled)
+3. **Ask anything** — Natural language questions
+4. **Get streaming answers** — Watch the AI think and respond in real-time
+
+No signup required. Documents auto-deleted after 7 days.
 
 ---
 
-## Architecture
-
-```mermaid
-flowchart LR
-    subgraph Input
-        A[📄 PDF / DOCX / TXT]
-    end
-    
-    subgraph Processing
-        B[✂️ Chunk<br/>1000 chars]
-        C[🧠 Embed<br/>bge-small-en-v1.5]
-        D[(💾 ChromaDB)]
-    end
-    
-    subgraph Query
-        E[💬 Question]
-        F[🎯 Top-4 Retrieval]
-        G[🤖 LLM Stream]
-        H[📝 Cited Answer]
-    end
-    
-    A --> B --> C --> D
-    E --> F --> G --> H
-    D --> F
-```
+## Features
 
-**Stack:** LangChain · ChromaDB · sentence-transformers · Groq + OpenRouter
+| Feature | Description |
+|---------|-------------|
+| **Multi-upload** | Upload multiple files at once |
+| **Streaming** | Real-time token-by-token answers |
+| **Citations** | Every answer links to source + page |
+| **3 AI models** | GPT-OSS 120B, Llama 3.3, Gemma 3 |
+| **Privacy** | Session isolation, 7-day auto-delete |
 
 ---
 
-## Quick Start
-
-### Docker (Recommended)
+## Run Locally
 
 ```bash
 git clone https://github.com/pkgprateek/rag-document-qa-workflow.git
 cd rag-document-qa-workflow
-
-# Add your API keys
 echo "GROQ_API_KEY=your_key" > .env
-echo "OPENROUTER_API_KEY=your_key" >> .env
-
 docker compose up
+# → http://localhost:7860
 ```
 
-Open **http://localhost:7860**
-
-### Local Development
-
-```bash
-uv venv && source .venv/bin/activate
-uv pip install -r requirements.txt
-python app/main.py
-```
-
-**Get Free API Keys:**
-- [Groq](https://console.groq.com/keys) — Required (GPT-OSS, Llama)
-- [OpenRouter](https://openrouter.ai/keys) — Optional (Gemma)
+**API Keys:** [Groq](https://console.groq.com/keys) (Required) · [OpenRouter](https://openrouter.ai/keys) (Optional)
 
 ---
 
-## Performance
+## 🔒 Privacy
 
-| Metric | Value |
-|--------|-------|
-| **Query latency** | 50-200ms (p95) |
-| **Document processing** | 3-4s for 100 pages |
-| **Citation accuracy** | 93-96% relevance |
-| **Streaming** | First token in <500ms |
+- Documents processed locally
+- Session-isolated storage
+- Auto-deleted after 7 days
+- Never used for training
 
 ---
 
 ## Enterprise Pilots
 
-**2-week paid pilots** for teams ready to deploy RAG on their infrastructure:
-
-| Week | Deliverables |
-|------|--------------|
-| **Week 1** | Document ingestion, chunking tuned for your domain |
-| **Week 2** | Deployment, team training, ROI analysis |
-
-**Includes:** Custom RAG system · Performance benchmarks · 30-day support
-
-<p align="center">
-  <a href="https://cal.com/prateekgoel/30m-discovery-call">
-    <img src="https://img.shields.io/badge/📅_Book_Discovery_Call-00C853?style=for-the-badge" alt="Book Call"/>
-  </a>
-</p>
-
----
-
-## Contact
-
-**Prateek Kumar Goel**
+**2-week paid pilots** for teams ready to deploy RAG on their infrastructure.
 
-[![HuggingFace Demo](https://img.shields.io/badge/🚀_Demo-HuggingFace-yellow)](https://huggingface.co/spaces/pkgprateek/ai-rag-document)
-[![GitHub](https://img.shields.io/badge/💻_Code-GitHub-black)](https://github.com/pkgprateek)
-[![HuggingFace](https://img.shields.io/badge/🤗_Profile-HuggingFace-orange)](https://huggingface.co/pkgprateek)
+📅 [Book discovery call](https://cal.com/prateekgoel/30m-discovery-call)
 
 ---
 
-<p align="center">
-  <sub>MIT License · Built with ❤️ for enterprise document intelligence</sub>
-</p>
+**Built by [Prateek Kumar Goel](https://github.com/pkgprateek)** · MIT License