Transform your documents into intelligent conversations. This open-source RAG chatbot combines semantic search with fine-tuned language models (LLaMA, Qwen2.5VL-3B) to deliver accurate, context-aware responses from your own knowledge base. Join our community!

Semantic Document Processor is an intelligent, open-source document analysis system that leverages Large Language Models (LLMs) to process and analyze complex documents like insurance policies, contracts, and legal documents. Built with modern AI/ML technologies, it provides structured, decision-ready responses to natural language queries

Game recommendation system leveraging the all-MiniLM-L6-v2 sentence transformer for embedding generation and FAISS index for efficient similarity-based retrieval.

Official implementation of the paper: Papazis, S.; Giotis, A.P.; Nikou, C. "Enhancing Keyword Spotting via NLP-Based Re-Ranking: Leveraging Semantic Relevance Feedback in the Handwritten Domain." Electronics 2025, 14, 2900.

AI-powered resume screening and ranking system using semantic embeddings and multi-factor scoring for fair and scalable recruitment.

Interactive 3D codebase visualization using AST parsing, semantic embeddings, and graph analysis. Built with WebAssembly, WebGPU, and modern web APIs.