Voyage 4
Voyage 4 is an embedding model from Voyage AI designed for semantic search and retrieval with a 32,000-token context window.
Text embedding model with 32K context
Voyage 4 is a text embedding model developed by Voyage AI, a company focused on building embedding and reranking models for retrieval-augmented generation (RAG) and semantic search applications. It accepts text input and produces dense vector representations that capture semantic meaning, enabling downstream tasks such as document retrieval, clustering, and similarity comparison. The model supports a context window of 32,000 tokens, allowing it to encode long documents in a single pass without chunking.
Voyage 4 is well-suited for developers building search pipelines, recommendation systems, or any application that requires comparing or ranking text by meaning rather than keyword overlap. Voyage AI models are commonly used alongside large language models to retrieve relevant context before generation. The model is available through Voyage AI's API and is accessible on MindStudio without requiring separate API key management.
What Voyage 4 supports
Text Embedding
Converts input text into dense vector representations for semantic similarity tasks. Supports inputs up to 32,000 tokens in a single encoding pass.
Long Document Encoding
Handles documents up to 32,000 tokens without requiring manual chunking. Useful for encoding full articles, reports, or lengthy passages.
Semantic Search
Enables retrieval of semantically relevant documents by comparing query and document embeddings in vector space. Commonly used in RAG pipelines.
Clustering & Similarity
Produces embeddings suitable for grouping related texts or measuring pairwise similarity. Supports downstream tasks like deduplication and topic modeling.
API Integration
Accessible via Voyage AI's REST API and through MindStudio without requiring separate API key configuration.
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Get Started FreeCommon questions about Voyage 4
What is the context window for Voyage 4?
Voyage 4 supports a context window of 32,000 tokens, meaning it can encode documents of up to that length in a single pass.
What type of model is Voyage 4?
Voyage 4 is an embedding model. It takes text as input and outputs dense vector representations rather than generating text responses.
Who publishes Voyage 4?
Voyage 4 is published by Voyage AI, a company that specializes in embedding and reranking models for retrieval and search applications.
What is Voyage 4 best used for?
Voyage 4 is best suited for semantic search, retrieval-augmented generation (RAG) pipelines, document clustering, and similarity ranking tasks.
Is pricing available for Voyage 4 on MindStudio?
Pricing details for Voyage 4 are not listed in the current metadata. You can check Voyage AI's official documentation or MindStudio's pricing page for the latest information.
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