Voyage 4 Large
Voyage 4 Large is an embedding model from Voyage AI with a 32,000 token context window for semantic search and retrieval.
Voyage AILarge-scale text embedding for retrieval tasks
Voyage 4 Large is a text embedding model developed by Voyage AI, designed to convert text into dense vector representations for use in semantic search, retrieval-augmented generation, and similarity tasks. It supports a context window of 32,000 tokens, allowing it to process long documents in a single pass without chunking. The model is a first-party offering from Voyage AI and is available through their API.
Voyage 4 Large is suited for applications that require embedding long-form content such as legal documents, research papers, or extended conversations. Its large context capacity makes it practical for retrieval pipelines where preserving full document context improves match quality. Developers typically use it in conjunction with vector databases and search infrastructure to build semantic retrieval systems.
What Voyage 4 Large supports
Long Document Embedding
Encodes text inputs up to 32,000 tokens into dense vectors in a single pass, reducing the need to split long documents into smaller chunks.
Semantic Search
Generates vector representations that capture semantic meaning, enabling similarity-based retrieval across large document collections.
RAG Pipeline Support
Produces embeddings compatible with retrieval-augmented generation workflows, integrating with vector databases to supply relevant context to language models.
Text Similarity Scoring
Computes vector proximity between text pairs to support tasks like duplicate detection, clustering, and recommendation.
API Integration
Accessible via the Voyage AI REST API, allowing embedding requests to be incorporated into existing applications without managing model infrastructure.
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Get Started FreeCommon questions about Voyage 4 Large
What is the context window for Voyage 4 Large?
Voyage 4 Large supports a context window of 32,000 tokens, meaning it can embed documents of up to that length in a single request.
What type of model is Voyage 4 Large?
It is an embedding model, meaning it outputs dense vector representations of text rather than generating text responses.
What is the pricing for Voyage 4 Large?
Pricing information was not included in the available metadata. You should check the Voyage AI pricing page directly for current rates.
What tasks is Voyage 4 Large best suited for?
It is designed for semantic search, retrieval-augmented generation, document similarity, and other tasks that require embedding long text inputs into vector space.
Does Voyage 4 Large support image or multimodal inputs?
Based on the available metadata, Voyage 4 Large is a text embedding model and does not indicate support for image or video inputs.
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