At Cohere, we are committed to breaking down barriers and expanding access to cutting-edge NLP technologies that power projects across the globe. By making our innovative multilingual language models available to all developers, we continue to move toward our goal of empowering developers,...
Model Package - Fulfilled on Amazon SageMaker
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Voyage AI’s embeddings have top performance on the HuggingFace MTEB benchmark. The voyage-large-2 model, a cutting-edge embedding model designed for general semantic retrieval tasks, shows consistent enhancements across general-purpose corpora, outperforming alternatives including voyage-2, OpenAI,...
Model Package - Fulfilled on Amazon SageMaker
Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more...
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Embedding models, a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG), are neural networks that convert documents into numerical vectors. Voyage-code-2 is a cutting-edge embedding model that is trained particularly for semantic retrieval of code...
Model Package - Fulfilled on Amazon SageMaker
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Embedding models, a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG), are neural networks that convert documents into numerical vectors. Voyage AI’s embeddings are rank-1 on the HuggingFace MTEB benchmark. Voyage-2 is a cutting-edge embedding...
Model Package - Fulfilled on Amazon SageMaker
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Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality...
Model Package - Fulfilled on Amazon SageMaker
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Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality...
Model Package - Fulfilled on Amazon SageMaker
Cohere’s Classification Finetuning enables you to train and deploy classification models with a few lines of code. Using as few as 2 examples per label, users are able to train custom models to classify text based on semantic meaning (results will vary depending on the classification task at hand -...
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Embed Light translates text into numerical vectors that models can understand. The most advanced generative AI apps rely on high-performing embedding models to understand the nuances of user inputs, search results, and documents. Embed Light is a smaller version of Embed with 384 dimensions.
Model Package - Fulfilled on Amazon SageMaker
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Embed Light translates text into numerical vectors that models can understand. The most advanced generative AI apps rely on high-performing embedding models to understand the nuances of user inputs, search results, and documents. Embed Light is a smaller version of Embed with 384 dimensions. This...
Model Package - Fulfilled on Amazon SageMaker
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