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 DuckDB or PostgreSQL

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

Late Interaction Models Training & Retrieval

Neural Search

High-Performance Engine for Multi-Vector Search

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

PyLate efficient inference engine

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

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

Tree-based indexes for neural-search

Efficient late-interaction retrieval systems in Julia!

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

A list of multi-vector retrieval resources

An overview of popular reranking models and architectures for 2 stage RAG pipelines

Boost RAG performance with question decomposer

Open source ColBERT based document database

A Powerful Python Library to Build AI Applications with the RAG