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Embeddings (45 results) showing 1 - 10



At Cohere, we are committed to breaking down barriers and expanding access to cutting-edge NLP technologies that power projects across the globe. By making our innovative multilingual language models available to all developers, we continue to move toward our goal of empowering developers,...


Cohere provides a representative AI model, Embed, that 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.


Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vectors with an additional payload Qdrant is tailored to extended filtering support on additional metadata...


Weaviate is a popular open-source low-latency vector database with out-of-the-box support for multimodal media types (text, images, etc.). The database stores both objects and vectors, allowing for combining vector search with structured filtering and the fault tolerance of a cloud-native database....

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Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality...

Model Package - Fulfilled on Amazon SageMaker

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Cohere's Rerank endpoint enables you to significantly improve search quality by augmenting traditional key-word based search systems with a semantic-based reranking system which can contextualize the meaning of a user's query beyond keyword relevance. Cohere's Rerank delivers much higher quality...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


Embed 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. This Embed model has 1024 dimensions. This version is also a multilingual...

Model Package - Fulfilled on Amazon SageMaker


At Cohere, we are committed to breaking down barriers and expanding access to cutting-edge NLP technologies that power projects across the globe. By making our innovative multilingual language models available to all developers, we continue to move toward our goal of empowering developers,...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


Embed 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. This Embed model has 1024 dimensions.

Model Package - Fulfilled on Amazon SageMaker