ModelLLMsv3.0

Voyage 3

by Voyage AI · paid · Last verified 2026-03-17

Voyage AI's third-generation embedding model designed for high-precision retrieval and RAG applications. Outperforms OpenAI and Cohere embeddings on retrieval benchmarks with optimized latent representations.

https://www.voyageai.com ↗

C+

C+—Average

Adoption: C+Quality: AFreshness: B+Citations: C+Engagement: F

Specifications

License: Proprietary
Pricing: paid
Capabilities: embedding, semantic-search, retrieval, reranking, cross-lingual-embedding
Integrations: langchain, llama-index, pinecone, anthropic
Use Cases: rag-retrieval, semantic-search, code-search, legal-document-search
API Available: Yes
Parameters: Undisclosed
Context Window: 32K tokens
Modalities: text
Training Cutoff: Mid 2024
Tags: embedding, retrieval, voyage-ai, semantic-search, high-precision
Added: 2026-03-17
Completeness: 92%

Index Score

53.35

Adoption

Quality

Freshness

Citations

Engagement

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