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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
$2,000.00/mo + $0.99 to $0.99/hr for software + AWS usage fees
Generative AI powered by Large Language Models (LLMs) is the next electricity or Internet (Jamie Dimon 2024; Jensen Huang, 2024). However, businesses and government agencies cannot use public LLMs such as ChatGPT with enterprise data because of privacy, security and safety concerns. Athena AI...
Linux/Unix, Ubuntu Latest - 64-bit Amazon Machine Image (AMI)
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jina-embeddings-v2-base-es is an open-source bilingual Spanish-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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Rerankers, a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG), are neural networks that jointly reason user queries and candidate documents and output relevance scores to refine search results. Voyage AI’s rerankers have top performance across...
Model Package - Fulfilled on Amazon SageMaker
This product is designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. It provides a ready to use Jupyter Hub deploymet that can be used to run John Snow Labs Python library for Healthcare Language Understanding and Visual...
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jina-colbert-reranker-v1-en is an open-source English ColBERT-based reranking model. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late interaction, allows for...
Model Package - Fulfilled on Amazon SageMaker
Vectara is the Trusted Generative AI for Enterprise Applications, a Serverless Retrieval Augmented Generation (RAG) platform that simplifies RAG & ML pipeline for better generative outcomes in applications, chatbots, and products. Vectara's product is an end-to-end Serverless Retrieval Augmented...
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jina-embeddings-v2-base-zh is an open-source bilingual Chinese-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
With YZR's API and collaborative AI platform: - Business experts spend much less time correcting, tagging and grouping textual data manually with a NLP-powered solution - Data and IT teams integrate faster and with more confidence automated textual data quality pipelines into ETLs, data lakes,...
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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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