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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...
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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...
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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...
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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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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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