ai-rag-document / README-HF.md
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feat: Add multi-provider LLM support with UI model selector
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metadata
title: Enterprise RAG Platform
emoji: πŸš€
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

πŸš€ Enterprise RAG Platform

Question your documents. Get cited answers in seconds.

Upload contracts, research papers, or financial reports β†’ Ask questions in plain English β†’ Get precise answers with page citations.


How It Works

graph LR
    A["πŸ“„ Upload"] --> B["βœ‚οΈ Chunk"]
    B --> C["🧠 Embed"]
    C --> D["πŸ’¬ Ask"]
    D --> E["✨ Cited Answer"]

3 steps: Upload β†’ Ask β†’ Get answers with citations.


Try It Now

  1. Select a vertical (Legal, Research, or FinOps) β€” pre-loaded samples ready
  2. Ask a sample question or type your own
  3. See the magic β€” cited answers in seconds

No signup required. Your documents are processed locally and auto-deleted after 7 days.


Features

  • Multi-format: PDF, DOCX, TXT
  • Citations: Every answer references source documents
  • Domain demos: Legal, Research, FinOps pre-loaded
  • Privacy-first: Local processing, auto-delete after 7 days
  • Fast: 1-3 second response time

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
echo "OPENROUTER_API_KEY=your_key" >> .env
docker compose up
# β†’ http://localhost:7860

Get Free API Keys: Groq (Required) Β· OpenRouter (Optional)
View source on GitHub


πŸ”’ Privacy

  • Documents processed locally (never sent externally)
  • Stored in encrypted ChromaDB
  • Auto-deleted after 7 days
  • Never used for model training

Enterprise Pilots

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

πŸ“… Book discovery call


Built by Prateek Kumar Goel Β· MIT License