DocuQuest: Intelligent Document Analysis with AI

DocuQuest Repo

DocuQuest is a cutting-edge retrieval-augmented generation (RAG) application designed to extract, analyze, and answer queries based on PDF documents. It combines robust document parsing with advanced AI, making it easier than ever to navigate and understand large volumes of text.

Overview

DocuQuest leverages modern natural language processing techniques to:

• Extract text from PDF files.
• Index the extracted content for efficient retrieval.
• Answer user queries by providing contextually relevant responses.

This publication outlines the architecture, features, and usage instructions for DocuQuest, as well as guidance on how to contribute.

Features

• Document Parsing: Seamlessly extracts text from PDF documents.
• Retrieval-Augmented Generation: Uses advanced AI models to provide accurate answers based on document content.
• Modular Design: Easily integrates with your existing systems and scales to meet growing needs.
• User-Friendly: Designed with a focus on simplicity and efficiency.

Architecture

DocuQuest is built with Python and structured in two main phases:

1. Document Ingestion: Parsing and indexing PDF documents.
2. Query Processing: Retrieving relevant document sections and generating answers using an AI model.