crossencoder

Cross-Encoder-with-Bi-Encoder를 활용한 WebPage 데모

Llama RAG app to chat with Applicants' Resume and Extension for LinkedIn

RAG Framework Implementation (Retriever/Reranker Fine-Tuning & Inference)

2024 AI CUP Competition on E.SUN AI Open Challenge-Applications of RAG and LLM in Financial Question Answering

CommitIt is an AI-powered GitHub repository assistant that enables developers to chat with any repository using natural language. It analyzes repository content, builds a searchable knowledge base, retrieves relevant code and documentation, and generates context-aware answers with source citations using hybrid retrieval and local LLMs.

conversational rag with production features

Legal AI Assistant for Indian Law – A Hybrid RAG platform (FastAPI + React) built with Google Gemini 3.5 Flash, Dense Embeddings, and Cross-Encoder Reranking to make Indian legal statutes, contracts, and court procedures accessible in plain English.

A RAG system that replaces standard BM25/FAISS retrieval with a fully learned neural retrieval stack - including a fine-tuned bi-encoder, a cross-encoder reranker, ColBERT-style late interaction scoring, and a locally hosted LLM generator. Built entirely with free and open-source tools.

RAG-based AI legal assistant using hybrid retrieval and local LLM inference.

End-to-end RAG pipeline benchmark: Pure Python vs LangChain on ECE R100 automotive regulation PDF. Compares chunking, hybrid retrieval, reranking, and LLM generation across both approaches.

Multimodal RAG system with hybrid retrieval, cross-encoder reranking and hallucination control

Retrieval-Augmented Generation chatbot that answers questions from PDF documents with source citations and evaluation.