README.md

metadata

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