Jina AI has developed a new artificial intelligence (AI) model called Jina Embeddings v2 which is now available to customers through Amazon’s SageMaker JumpStart. This model allows users to deploy machine learning (ML) solutions with just a few clicks. The model supports a context length of up to 8,192 tokens and can be used in various AI applications, including eCommerce, content personalization, recommender systems and data analytics.
Text embedding is a process that transforms text into numerical representations placed in a high-dimensional vector space, which facilitates searching and comparing texts. This makes the Jina Embeddings v2 ideal for creating chatbot-based solutions for customer service, internal support and question answering systems.
Jina Embeddings v2 also integrates seamlessly with Retrieval Augmented Generation (RAG) applications. RAG optimizes the output of large language models (LLMs) to reference knowledge bases outside of its training data sources before generating a response, which enhances the model’s relevance and accuracy. By incorporating Jina Embeddings v2, RAG systems can much more reliably find semantic information.
Amazon’s SageMaker JumpStart is a hub for ML solutions which assists developers in deploying AI models in a secure environment. The platform also supports customization of models using SageMaker features. Jina Embeddings v2 is now available in AWS Marketplace and can be integrated into users’ deployments when working in SageMaker.
Jina AI remains committed to providing affordable and accessible AI embeddings technology worldwide. By utilizing Jina Embeddings v2 and Amazon’s SageMaker JumpStart, developers and businesses can create sophisticated AI solutions with ease. Jina’s text embedding models currently support English and Chinese, with plans for introducing German and other languages in the future.
