Voyage
voyage is a text embedding model that converts text into dense vector representations for semantic retrieval. Originally released as voyage-01 via the Voyage AI API, this repository contains only the tokenizer (MIT licensed). Built on a LlamaTokenizer architecture with a 4,096-token context window, designed to outperform OpenAI text embeddings on retrieval benchmarks.
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rerank 2.5
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A reranking model that reorders search results to improve retrieval accuracy, with instruction-following capa…
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Rerank 2.5 lite
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Voyage 01
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voyage-01 is a text embedding model by Voyage AI, designed for retrieval-augmented generation (RAG) and seman…
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Voyage 3 large
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Text embedding model optimized for general-purpose and multilingual retrieval across law, finance, code, and…
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Voyage 3 lite
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Lightweight general-purpose text embedding model optimized for latency and cost. Generates 512-dimensional ve…
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Voyage 4
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Text embedding model optimized for general-purpose and multilingual retrieval quality. Supports a 32,000-toke…
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5.6k DL
Voyage 4 large
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voyage-4-large is a state-of-the-art general-purpose and multilingual text embedding model using a mixture-of…
About Voyage AI
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Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.