PDF Document Processor

A FastAPI-based document processing service that extracts text from PDF files and enables semantic search capabilities.

Features

• PDF text extraction and processing
• Semantic search with vector embeddings
• RESTful API with automatic documentation
• Rate limiting and security controls
• Persistent vector storage

Quick Start

1. Setup Environment

   cp .env.example .env
   # Edit .env with your OpenAI API key

2. Run with Docker

   docker-compose up --build

3. Access API

   • Service: http://localhost:8000
   • Documentation: http://localhost:8000/docs

API Endpoints

• POST /api/upload - Upload PDF documents
• POST /api/ask - Query document content
• GET /api/status - System status
• GET /health - Health check

Configuration

Configure via environment variables in .env:

• OPENAI_API_KEY - Required for embeddings
• MAX_FILE_SIZE - Maximum file size (default: 50MB)
• MAX_PDF_PAGES - Maximum pages per document (default: 500)

License

MIT License