GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.

GPU-accelerated generation of text embeddings used for question-answering retrieval.

Generates high-quality numerical embeddings from text inputs.

Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.

GPU-accelerated generation of text embeddings.

GPU-accelerated generation of text embeddings used for question-answering retrieval.

GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.