A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Efficient Retrieval Augmentation and Generation Framework

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

Neural Search

Late Interaction Models Training & Retrieval

ColBERT humor dataset for the task of humor detection, containing 200,000 jokes/news

An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.

Vector Database with support for late interaction and token level embeddings.

Tree-based indexes for neural-search

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

Evaluation of BEIR Datasets using ColBERT retrieval model

A list of multi-vector retrieval resources

Efficient late-interaction retrieval systems in Julia!

Index GitHub repositories to ColBERT models and serve them with GRPC or FastAPI

Open source ColBERT based document database

This is the Information Retrieval 2023-2024 fall semester CEID course project.

Code for ArXiv CS RAG Huggingface Space: Generate scientific paper abstract embeddings using ColBERTv2 and ask questions

Vector Space Model implementation for document retrieval, along with several metrics

This app is a personalized music recommendation system that uses a Retrieval-Augmented Generation (RAG) framework, leveraging Spotify's API, LangChain, ChromaDB, and ColBERT embeddings to create playlists based on user mood and preferences.