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

Efficient Retrieval Augmentation and Generation Framework

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

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

Evaluation of BEIR Datasets using ColBERT retrieval model

Efficient late-interaction retrieval systems in Julia!

A list of multi-vector retrieval resources

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

This project involves creating an inverted index for a text collection, implementing a Vector Space Model (VSM) with custom weighting methods, applying the pre-trained colBERT model for semantic query handling, and comparing the performance of the developed models using two evaluation metrics implemented from scratch.

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.

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