"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580

Code of zlyang's master dissertation for Chinese grammatical error correction.

An interactive tool for exploring and comparing 5 different document re-ranking techniques with real-time evaluation and visualization to improve the accuracy of RAG System.

This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.

Drowning in documents? Stop searching and Start Chatting! Ask questions, get follow-ups, and generate summaries across multi-format documents using an advanced RAG system with OCR.

AI Document assistant

A multi model efficient RAG applicattion enriched with OpenAI and AnthropicAI. Powered by Huggingface, Transformeres, AWS and GitHub CICD.

A Streamlit-based multilingual legal assistant that processes mining law PDFs, retrieves context using FAISS and Ollama RAG, and delivers answers with translation and audio output.

A domain specific multiagentic medical rag on hypertension and diabetics used to generate care plans for the patients.

ClinIQ transforms clinical documents into an intelligent Q&A system. Upload PDFs, DOCX, or TXT files and ask questions in plain English. Built with React, Flask, and ChromaDB, it uses AI-powered RAG with hybrid search (semantic + BM25), reranking, and OpenAI GPT models to deliver accurate, evidence-based answers with source citations.

A powerful Retrieval-Augmented Generation (RAG) chatbot application built with JavaFX