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Voyage AI provides cutting-edge embedding models and rerankers for search and retrieval
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Voyage AI, a MongoDB brand, develops embedding models and rerankers that help organizations improve search and retrieval for unstructured data. Its tools support retrieval-augmented generation (RAG), connecting information in documents and other sources to more relevant, reliable answers. Voyage AI says its models perform strongly on the Retrieval Text Embedding Benchmark, designed to reflect enterprise retrieval needs.
The product range includes embeddings for representing text as searchable vectors and rerankers for improving the relevance of search results. The company highlights compact vector dimensions, lower inference costs, fast processing, and support for long contexts of up to 32,000 tokens. Its models can be used with different vector databases and large language models.
Voyage AI offers consumption-based pricing, access through major cloud and data platforms, and deployment in customer environments, including virtual private clouds. Custom and on-premises deployments, as well as model licensing, are also available. The site provides documentation, tutorials, guides, training resources, and technical support materials to help developers build AI applications.
Brand industry
Computers Electronics and Technology
Company type
Privately Held
Year founded
2023
Company size
2-10 employees
Text embedding models
Neural reranking models
Retrieval-augmented generation
Enterprise vector search
Legal document embeddings