Popular GitHub Repositories for Colbert

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

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

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

Late Interaction Models Training & Retrieval

High-Performance Engine for Multi-Vector Search

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

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

Tree-based indexes for neural-search

Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.

A demonstration of hybrid search with reranking using Qdrant and the BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

Boost RAG performance with question decomposer

Open source ColBERT based document database

ONNX implementation of the BGE-M3 multilingual embedding model and tokenizer. Generates all three embedding types: dense vectors, sparse weights, and ColBERT vectors

TorchON : Optimized information retrieval application creation and deployment - easily make an good knowledge retrieval app, then share it securely with your colleagues

This is the code repository for the blog post "Can we assess span-level relevance with dense embedding models?".