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Embedding models are neural networks that convert documents into numerical vectors. They are a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG). voyage-multilingual-2 is optimized for multilingual retrieval and RAG. It demonstrates superior...
Model Package - Fulfilled on Amazon SageMaker
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jina-embeddings-v2-base-de is an open-source bilingual German-English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented...
Model Package - Fulfilled on Amazon SageMaker
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Solar Embedding Large is a powerful multilingual embedding model offering robust performance across multiple languages, including English, Korean, Japanese, and more. It's specifically fine-tuned for retrieval tasks, significantly enhancing multilingual retrieval results. This model is divided into...
Model Package - Fulfilled on Amazon SageMaker
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Starting from $0.05 to $0.05/hr for software + AWS usage fees
The Knowledgebases Integration Platform is a solution designed to transform the way organizations manage and integrate their extensive knowledgebases. By leveraging powerful data synchronization and advanced vector database services, this platform offers seamless data integration and advanced...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Built on OpenAI (ChatGPT), Google and on-premise large language models to answer any questions in natural language and real-time. These can be used to develop online mentors and assistants for students, instructors and customer support. Knowledge Base Trained on your custom knowledge base by...
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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-law-2 is a cutting-edge embedding model that is trained particularly for semantic retrieval of legal...
Model Package - Fulfilled on Amazon SageMaker
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Jina Reranker v1 Base 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...
Model Package - Fulfilled on Amazon SageMaker
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Jina Embeddings v2 Small model is optimized for speed of inference and memory efficiency - For higher accuracy, use the Base model. jina-embeddings-v2-small-en is an open-source English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many...
Model Package - Fulfilled on Amazon SageMaker
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jina-colbert-v1-en is an open-source English ColBERT-style embedding model supporting 8192 sequence length. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late...
Model Package - Fulfilled on Amazon SageMaker
Starting from $0.10 to $0.10/hr for software + AWS usage fees
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives. Qiskit IBM Runtime is a new...
Windows, Windows Server 2016 Base 2016 - 64-bit Amazon Machine Image (AMI)
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