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@raphaelsty raphaelsty released this 16 Nov 22:56
· 60 commits to main since this release
1.0.0
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Introducing Neural-Cherche 1.0.0: The Evolution of Sparsembed

I'm thrilled to announce the launch of Neural-Cherche 1.0.0, a significant upgrade from Sparsembed, packed with innovative features and enhancements:

  • ColBERT Fine-Tuning & Ranking: Enhance your search capabilities with fine-tuned ColBERT for more precise and efficient ranking.

  • Revamped Retrievers with Enhanced API: Experience our newly optimized retrievers. They now come with an improved API that enables users to comprehensively capture and analyze all model outputs.

  • Optimized Training with Refined Hyperparameters: Benefit from our enhanced training procedure, featuring good default hyperparameters for better performance.

  • Efficiency Boost with Splade and SparseEmbed: These components have been upgraded to utilize more efficient Sparse Matrices, boosting overall effectiveness.

  • Intelligent Embedding Management: Once computed, embeddings are now transferred to the CPU, remaining there until needed again. This approach enables extensive, large-scale offline neural searching without overwhelming GPU resources.

  • Comprehensive Documentation: Get up to speed quickly with the documentation.

  • Improved Evaluation API

  • A Fresh, New Look with a cool Logo

Embrace the future of neural search with Neural-Cherche 1.0.0 – a giant leap forward from Sparsembed!

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