Voyage is a team of leading AI researchers and engineers, dedicated to building embeddings models, customized for domains and companies, for better retrieval accuracy and RAG applications. Voyage AI provides API endpoints for embedding and reranking models that take in your data (e.g., documents, queries, or query-document pairs) and return their embeddings or relevance scores. Embedding models and rerankers, as modular components, seamlessly integrate with other parts of a RAG stack, including vector stores and generative Large Language Models (LLMs).
Voyage AI provides cutting-edge embedding and rerankers. Embedding models are neural net models (e.g., transformers) that convert unstructured and complex data, such as documents, images, audios, videos, or tabular data, into dense numerical vectors (i.e. embeddings) that capture their semantic meanings. These vectors serve as representations/indices for datapoints and are essential building blocks for semantic search and retrieval-augmented generation (RAG), which is the predominant approach for domain-specific or company-specific chatbots and other AI applications.
Total Funding: $28M
Funding Stage: Series A
Business Stage: Scaling Up
Market: B2B
Company Size: 1 to 25
Founded: 2023
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