Cross-Encoder-with-Bi-Encoder를 활용한 WebPage 데모
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Updated
Dec 10, 2021 - Python
Cross-Encoder-with-Bi-Encoder를 활용한 WebPage 데모
Llama RAG app to chat with Applicants' Resume and Extension for LinkedIn
SentencePiece tokenizer for cross-encoders
ViSecRAG: A comprehensive Retrieval-Augmented Generation framework featuring semantic-aware data chunking, vector-based retrieval, and fine-tuned embedding models optimized for Vietnamese language security and information extraction tasks.
PaperLens AI is a full-stack research assistant that helps you analyze papers, ask grounded questions, detect gaps, and generate experiment plans or research problem statements.
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
Hybrid RAG system (BM25 + Qdrant dense search + RRF) with cross-encoder reranking, ablation-tested retrieval, page-cited document upload, and full CI/CD.
A generative AI based smart information retrieval system featuring Hybrid Contextual Search,
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
Developing a retrieval system using semantic vector search.
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.
Reranking from scratch using sentence-transformer, BM25, Cohere and Cross-Encoders !!!
Retrieval-Augmented Generation chatbot that answers questions from PDF documents with source citations and evaluation.
Multimodal RAG system with hybrid retrieval, cross-encoder reranking and hallucination control
RAG + Text-to-SQL conversational analytics over Inside Airbnb data for Rome, powered by Databricks (Vector Search, SQL Warehouse, Delta Lake), FastAPI, and React.
Grounded research-paper QA system using structure-aware RAG, FAISS retrieval, Cross-Encoder reranking, local Qwen generation, abstention, and semantic citation verification.
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