A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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Updated
Mar 19, 2024 - Python
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Efficient Retrieval Augmentation and Generation Framework
Neural Search
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!
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