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Voyage AI

by Voyage AI (acquired by MongoDB, Feb 2025)

System Card

OrganizationVoyage AI (acquired by MongoDB, Feb 2025)
Released2023-09
Architectureexternal-memory-network / domain-specialized embedding API
DetailsVoyage AI provides state-of-the-art embedding and reranking models via API, with domain-specialized variants for code, law, finance, and general text. voyage-3.5 is priced at $0.06/MTok and ranks among the top zero-shot retrieval models on MTEB/BEIR benchmarks. Acquired by MongoDB for $220M in February 2025 to deepen Atlas Vector Search integration.
Parameters—
Domainrag-retrieval
Open SourceNo
WebsiteVisit
embedding-APIrerankingdomain-specializedMTEB-topMongoDB

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Long-Context Retrieval
2/5
RULER
71.956p
NIAH
no data
LooGLE
no data
LongBench
603p
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
6931p
HotpotQA
69.241p
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
63.43p
Sources:Voyage AI vendor documentation; evaluated on HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering (Stanford / CMU, 1809)Voyage AI vendor documentation; evaluated on LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Tsinghua KEG, 2308)Voyage AI vendor documentation; evaluated on MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (HKUST, 2401)Voyage AI vendor documentation; evaluated on RAGAS: Automated Evaluation of Retrieval-Augmented Generation (Exploding Gradients, 2309)Voyage AI vendor documentation; evaluated on RULER: What's the Real Context Size of Your Long-Context Language Models (NVIDIA, 2404)