You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.