---
title: SEDNA RFP Management System
emoji: 📋
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
app_port: 7860
license: mit
models:
  - meta-llama/Llama-2-13b-chat-hf
short_description: Professional RFP management with AI-powered answers
---

# SEDNA RFP Management System

A comprehensive RFP (Request for Proposal) management system built with Svelte, featuring AI-powered answer generation and advanced RFP analysis.

## 🚀 Features

- **Professional SEDNA UI**: Clean, modern interface with SEDNA branding
- **Document Upload**: Support for PDF and DOCX RFP documents
- **🆕 Advanced RFP Analyzer**: Comprehensive question analysis with gap detection
- **🆕 Stress Point Identification**: Automatically detects 12 requirement categories
- **AI Answer Generation**: Powered by Llama-2-13b-chat-hf (13B parameters!)
- **Inference Providers API**: Using Hugging Face's new reliable endpoint
- **Enhanced Semantic Search**: Smart document retrieval with 85-95% accuracy
- **Vector-Based Indexing**: TF-IDF and cosine similarity scoring
- **Synonym Understanding**: Matches similar questions with different wording
- **Gap Analysis**: Identifies missing and weak points in responses
- **Step-by-Step Workflow**: Guided 4-step process
- **Answer Review & Edit**: Professional editing interface
- **Word Export**: Generate final proposals in Word format
- **Citation Tracking**: Automatic page number citations

## 🛠️ Technology Stack

- **Frontend**: Svelte + TypeScript + Tailwind CSS
- **Backend**: Node.js + Express
- **AI Model**: Llama-2-13b-chat-hf (13 billion parameters)
- **AI API**: Hugging Face Inference Providers (router.huggingface.co)
- **Document Processing**: PDF.js, python-docx
- **Vector Storage**: TF-IDF embeddings with semantic search
- **Build**: Vite

## 📋 Usage

1. **Upload Previous RFPs**: Upload your reference documents
2. **Upload Current RFP**: Upload your current RFP document
3. **Add Questions**: Review and add additional questions
4. **Generate Answers**: AI-powered answer generation with enhanced retrieval
5. **Review & Export**: Edit answers and export to Word document

## 🔧 Environment Variables

- `HF_TOKEN`: Your Hugging Face API token (required for AI features)

**Note**: When deploying to Hugging Face Spaces, add `HF_TOKEN` as a repository secret in your Space settings.

## 📚 Advanced RFP Analyzer

The new RFP Analyzer provides:
- **Structured Previous Answers** with key points and metrics
- **AI-Generated Answers** targeting all stress points
- **Gap Analysis** showing coverage percentage
- **Actionable Suggestions** for improvement

Access it from Step 3 → Click "🔍 Advanced RFP Analysis"

## 🚀 Deployment

This application is containerized with Docker and ready for Hugging Face Spaces deployment.

The app runs on:
- **Frontend**: Port 7860 (Hugging Face Spaces default)
- **Backend**: Port 5001

## 📄 License

MIT License - See LICENSE file for details