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Voyage AI
News
Breaking the Dense Ceiling: How voyage-4-large Uses MoE to Scale
News
Announcing New Models and Expanded Availability
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The Voyage 4 model family: shared embedding space with MoE architecture
News
voyage-multimodal-3.5: a new multimodal retrieval frontier with video support
News
Introducing the Batch API: Simpler and more efficient for large-scale workloads
News
The Case Against LLMs as Rerankers
News
rerank-2.5 and rerank-2.5-lite: instruction-following rerankers
News
Introducing voyage-context-3: focused chunk-level details with global document context
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voyage-3.5 and voyage-3.5-lite: improved quality for a new retrieval frontier
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Accelerating our mission: building the best embedding models for all developers
News
Stronger Together: Why We Chose to Join MongoDB
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voyage-3-large: the new state-of-the-art general-purpose embedding model
News
How do we evaluate vector-based code retrieval?
News
voyage-code-3: more accurate code retrieval with lower dimensional, quantized embeddings
News
voyage-multimodal-3: all-in-one embedding model for interleaved text, images, and screenshots
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Announcing our $28M fundraise
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rerank-2 and rerank-2-lite: the next generation of Voyage multilingual rerankers
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voyage-3 & voyage-3-lite: A new generation of small yet mighty general-purpose embedding models
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Harvey partners with Voyage to build custom legal embeddings
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voyage-multilingual-2: Multilingual Embedding Model
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Domain-Specific Embeddings: Finance Edition (voyage-finance-2)
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Semantic Search with Milvus Lite and Voyage AI
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Voyage rerank-1: Cutting-Edge General Purpose and Multilingual Reranker
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voyage-large-2-instruct: Instruction-tuned and rank 1 on MTEB
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Domain-Specific Embeddings and Retrieval: Legal Edition (voyage-law-2)
News
Boosting Your Search and RAG with Voyage’s Rerankers
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voyage-code-2: Elevate Your Code Retrieval
News
Excited to Announce Voyage Embeddings!
Research
Embeddings Drive the Quality of RAG: A Case Study of Chat.LangChain
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