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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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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-large-2-instruct is a cutting-edge embedding model designed for general semantic retrieval tasks,...
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Nomic Embed is the only truly open (open source, weights, and data) text embedder to beat OpenAI on both short and long context tasks.
Model Package - Fulfilled on Amazon SageMaker
Twelve Labs multimodal foundation models create powerful vector embeddings that enable downstream applications. Our Marengo model understands video natively and is able to identify and interpret movements, actions, objects, individuals, sounds, on-screen text, and spoken words just like humans,...
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...
Jina Reranker v2 model is a neural text reranking model, designed to enhance the relevance of search results. It complements text embedding models and refines search results by prioritizing documents relevant to a query. This state-of-the-art reranker model enables a variety of applications that...
Model Package - Fulfilled on Amazon SageMaker
jina-embeddings-v2-base-code is an open-source coding embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as code review, static analyses, documentation assistance, code search, or retrieval augmented generation (RAG).
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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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 -...
Algorithm - Fulfilled on Amazon SageMaker
Jina Reranker v1 Turbo model is a neural text reranking model, designed to enhance the relevance of search results. This model is the best balance between accuracy and performance, offering fast and more memory-efficient reranking process. For our most accurate (and larger) reranker model,...
Model Package - Fulfilled on Amazon SageMaker
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