2.2.1

Add sentence-transformers as requirements.

2.2.0

Update requirements: bump LeNLP version.

2.1.1

Update LeNLP version which could raise error on older linux version.

2.1.0

Cherche 2.1.0 is available, it's been a long time without updates 🥳

• Updated default TfIdf retriever with vectorizer from LeNLP which is written in Rust and much faster.
• Added BM25 retriever using LeNLP BM25Vectorizer with is written in Rust and very fast.

2.0.6

Assert top-k parameter in init method of Lunr is used.

2.0.5

Accelerate TfIdf in batches and enables to update TfIdf with new documents using the add method.

2.0.4

Add method .to_csr() and .to_csc() to TfIdf in order to speed-up the computation with large batch.

2.0.3

Disable tqdm bar of retrievers on demand using tqdm_bar parameter of __call__ methods and add methods.

2.0.2

Speed up tf-idf by transposing the sparse matrix of documents in the retriever.add method instead of transposing the sparse matrix when querying.

2.0.1

Requirements update of Numpy and Scikit-learn dependencies version.