Artificial Intelligence
Voyage AI
Voyage AI is an AI-native company in Artificial Intelligence, based in United States. Shown below: 12 models.
US
- Listed models
- 23
Figures and classifications reflect imported catalog records, not live company reporting.
Models
12
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Voyage 4 large Gen 7 Text
A state-of-the-art general-purpose and multilingual text embedding model using a mixture-of-experts (MoE) architecture. It delivers frontier retrieval accuracy with serving costs 40% lower than comparable dense models.…
- Embeds
- Text classification
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Voyage multimodal 3.5 Gen 3 Multimodal
Voyage Multimodal embedding model that vectorizes interleaved text, images, and videos into a shared vector space for retrieval tasks. Uses a single transformer encoder for all modalities, eliminating the modality gap.…
- Embeds
- Information retrieval
- Search
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Voyage 4 lite Gen 7 Text
Voyage Lightweight, general-purpose text embedding model optimized for low latency and cost. Supports a 32K token context window and flexible output dimensions (2048, 1024, 512, 256) via Matryoshka learning. Offers mult…
- Embeds
- Text classification
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Voyage 4 nano Gen 7 Text
A lightweight open-weight text embedding model from the Voyage 4 series. It features a 32,000-token context window, 340M total parameters, multilingual support, Matryoshka flexible dimensions (256 to 2048), quantization…
- Embeds
- Information retrieval
- Semantic search
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Voyage 4 Gen 7 Text
Voyage Text embedding model optimized for general-purpose and multilingual retrieval quality. Supports a 32,000-token context window and configurable output dimensions (256, 512, 1024, 2048) via Matryoshka Representatio…
- Embeds
- Information retrieval
- Semantic search
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rerank 2.5 Gen 7 Text
Rerank A reranking model that reorders search results to improve retrieval accuracy, with instruction-following capabilities to steer relevance scoring via natural language. Supports 32K token context length. Outperform…
- Search
- Text analysis
- Question answering
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Rerank 2.5 lite Gen 7 Text
A latency-optimized reranker that refines retrieval results with instruction-following capabilities. Supports a 32K token context window, works across 31 languages, and outperforms larger open-source rerankers. Users ca…
- Semantic search
- Information retrieval
- Text analysis
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Voyage context 3 Gen 7 Text
A contextualized chunk embedding model that produces vectors capturing both chunk-level detail and full document context. It processes entire documents in a single pass and generates a distinct embedding per chunk. Supp…
- Embeds
- Information retrieval
- Semantic search
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Voyage 3 large Gen 7 Text
Voyage Text embedding model optimized for general-purpose and multilingual retrieval across law, finance, code, and long-document domains. Supports a 32K-token context window, flexible output dimensions (256, 512, 1024,…
- Semantic search
- Information retrieval
- Document analysis
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Voyage code 3 Gen 2
Voyage Text embedding model optimized for code retrieval. Supports Matryoshka embeddings at 256, 512, 1024, and 2048 dimensions with quantized formats (float, int8, uint8, binary, ubinary) for up to 32x storage reductio…
- Semantic search
- Code search
- Code retrieval Coding
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Voyage multimodal 3 Gen 3 Multimodal
Voyage Multimodal embedding model that vectorizes interleaved text and images through a unified transformer encoder. Supports screenshots of PDFs, slides, tables, and figures without complex document parsing. Unlike CLI…
- Semantic search
- Multimodal search
- Image search
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Rerank 2 lite Gen 7 Text
A lightweight multilingual cross-encoder reranker from Voyage AI. It scores and reorders candidate documents by relevance to a query, optimized for low latency while maintaining strong retrieval quality. Supports an 8K-…
- Information retrieval
- Document search
- Conceptual search
Source rankings
Imported positions; not an independent quality score.
- Overall Rank#1191
- AI Native Rank#547
- Rank#601