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Voyage 4 Lite

Voyage 4 Lite is a text embedding model from Voyage AI supporting a 32,000-token context window for semantic search and retrieval tasks.

PublisherVoyage AI
TypeEmbedding
Context Window32,000 tokens
Released2026
Input$0.02/MTok

Lightweight text embeddings with large context

Voyage 4 Lite 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 (RAG), and similarity tasks. It supports a context window of 32,000 tokens, allowing it to process longer documents in a single pass without chunking. Released in 2026, it is offered as a first-party model through Voyage AI's embedding API.

The "Lite" designation indicates this model is positioned as a lighter-weight option within the Voyage 4 embedding family, making it suitable for applications where efficiency and lower computational cost are priorities alongside reasonable embedding quality. It is best suited for developers building search pipelines, recommendation systems, or document retrieval workflows that require embedding large volumes of text. Because it is an embedding model, it produces vector outputs rather than generated text and does not support conversational or generative tasks.

What Voyage 4 Lite supports

Text Embeddings

Converts input text into dense vector representations for downstream tasks like semantic search and clustering. Outputs fixed-dimensional vectors suitable for similarity comparison.

Long Context Support

Processes documents up to 32,000 tokens in a single embedding pass, reducing the need to split long documents into smaller chunks.

Retrieval-Augmented Generation

Produces embeddings optimized for RAG pipelines, enabling efficient retrieval of relevant document passages to ground language model responses.

Semantic Similarity

Encodes text such that semantically related passages produce vectors with high cosine similarity, supporting tasks like duplicate detection and recommendation.

API Integration

Accessible via Voyage AI's REST API, allowing embedding requests to be integrated into existing applications without managing model infrastructure.

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Common questions about Voyage 4 Lite

What is the context window for Voyage 4 Lite?

Voyage 4 Lite 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 Lite?

Voyage 4 Lite is a text embedding model. It generates vector representations of text and does not produce generated or conversational text output.

What is Voyage 4 Lite best used for?

It is best suited for semantic search, retrieval-augmented generation (RAG), document similarity, and clustering tasks that require embedding large volumes of text efficiently.

How is Voyage 4 Lite different from other Voyage 4 models?

The "Lite" designation indicates it is a lighter-weight variant within the Voyage 4 embedding family, intended for use cases where efficiency and lower resource usage are priorities.

What is the pricing for Voyage 4 Lite?

Pricing information for Voyage 4 Lite is not published in the available metadata. Check the Voyage AI website or documentation for current pricing details.

Does Voyage 4 Lite support image or multimodal inputs?

Based on available metadata, Voyage 4 Lite is a text embedding model and does not indicate support for image or video inputs.

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