README.md

metadata

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

Enterprise RAG Platform

Turn documents into answers. Instantly.

Upload contracts, research papers, or financial reports → Ask questions → Get cited answers in seconds.

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✨ What's New

• Multi-document upload — Process multiple files at once
• Streaming answers — Watch responses generate in real-time
• Thinking indicator — See "🔍 Analyzing documents..." before streaming starts

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How It Works

📄 Upload → ✂️ Chunk → 🧠 Embed → 💬 Ask → ✨ Cited Answer

3 steps: Upload your documents → Ask questions → Get answers with page citations.

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Try It Now

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.

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Features

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

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Run Locally

git clone https://github.com/pkgprateek/rag-document-qa-workflow.git
cd rag-document-qa-workflow
echo "GROQ_API_KEY=your_key" > .env
docker compose up
# → http://localhost:7860

API Keys: Groq (Required) · OpenRouter (Optional)

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🔒 Privacy

• Documents processed locally
• Session-isolated storage
• Auto-deleted after 7 days
• Never used for training

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Enterprise Pilots

2-week paid pilots for teams ready to deploy RAG on their infrastructure.

📅 Book discovery call

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Built by Prateek Kumar Goel · MIT License