SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

The sources codes of the DR-BERT model and baselines

简版文本对话/问答系统

Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

Unofficial implementation of paper "Recommender Systems with Generative Retrieval" (NeurIPS'23)

When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection - LDK 2025

Author: Wenhao Yu (wyu1@nd.edu). EMNLP'20. Transfer Learning for Technical Question Answering.

REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model

Official github repository of Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides WACV 2023

Document Retrieval with ColQwen2

Various Indexing and Query Based Retrieval Models and Page-rank Algorithm in Python 3.0

SVMax : A Feature Embedding Regularizer

AI-powered citation verification with full-text analysis and contextual insight. Automatically validates citations with evidence-based reasoning, confidence scores, and support classifications. Features fine-tuned models, hybrid retrieval, and local deployment options.

Retrieval based TF-IDF English and Burmese bilingual chatbot for Covid-19 domain

Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.

Combine fIne-tuning and retrieval-augmented generation

Test metric learning with 3D Deep Learning architectures to solve a ShapeRetrieval task