**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!