documentintelligence

Python notebook for solving overlapping tables problem with Azure document intelligence , semantic chunking, RAG , Azure AI Search

Extract text, answer questions, and pull structured data from PDFs and scans with local RAG and OCR for German and English documents

A Quiz generator for Pdfs and Images

OCR using ASP.NET C# and Azure Services

Hybrid RAG system combining vector search and graph reasoning for querying CSV-based datasets using Neo4j, Qdrant, and LLMs.

Use Document Intelligence, Content Understanding and OpenAI to extract data from sessions feedback form

DocRAG is a fully offline, private document intelligence assistant that lets you permanently store and query PDF, DOCX and TXT files. Powered by Qwen2.5 and bge-m3 through llama.cpp, it searches your entire personal library and provides citation-grounded answers with source and page references.

Multimodel Document Intelliigence for better document understanding and context awareness for Academic Documents

This Python Flask application is designed to process and rank resumes based on job descriptions. It uses Azure's Document Analysis Client for document processing, and a MongoDB database for storing job descriptions and resumes. The application also generates embeddings for the processed documents using AzureOpenAI.

Serverless resume screening agent built with Azure OpenAI and Document Intelligence that scores ATS alignment using keyword coverage and semantic similarity

This command-line tool analyzes local documents using Azure® AI Document Intelligence and imports them into the BelegManager of SteuerSparErklärung®