Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Efficiently refine retrieval results over multiple sources and languages.
World-class multilingual and cross-lingual question-answering retrieval.
Rapidly identify and mitigate container security vulnerabilities with generative AI.
Grounding dino is an open vocabulary zero-shot object detection model.
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
Multilingual text reranking model.
English text embedding model for question-answering retrieval.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
Generates high-quality numerical embeddings from text inputs.