MODELS
voyage-4-large
by Voyage AI
Overview
Flagship general-purpose and multilingual embedding model for high-quality retrieval, RAG, and search applications.
Details
voyage-4-large is a Voyage AI embedding model listed in the provider’s embeddings documentation and associated Voyage AI web pages. The supplied source excerpt describes it as a flagship, general-purpose, multilingual embedding model intended for high-quality retrieval, RAG, and search applications. Use the official embeddings documentation as the primary source for integration details and the Voyage AI website or launch blog for provider context.
When to Use
Use for retrieval RAG or search applications that need a general-purpose embedding model. Evaluate when multilingual embedding support is important for the application. Consider when selecting a Voyage AI-hosted embedding model from the official embeddings documentation.
Getting Started
- Open the Voyage AI embeddings documentation at https://docs.voyageai.com/docs/embeddings.
- Review the voyage-4-large entry and any API usage guidance in the official docs.
- Compare the model against other Voyage AI embedding models for your retrieval
- RAG
- or search workload.
- Run a small evaluation on representative queries and documents before production use.
Key Features
- •Flagship Voyage AI embedding model according to the supplied source excerpt.
- •General-purpose embedding model positioning.
- •Multilingual embedding support according to the supplied source excerpt.
- •Described for high-quality retrieval
- •RAG
- •and search applications.
Capabilities
- •embeddings
- •multilingual retrieval
- •RAG retrieval
- •semantic search
Last updated Jun 8, 2026