// scorecard · 25/100
verified 1mo agoAgent-readiness11/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server0/9
llms.txt0/3
Reliability & performance0/15
Actively maintained—
Production-ready0/4
Updated recently—
Pricing2/13
Itemized public pricing0/6
Free tier / trial0/4
Free-tier generosity2/3
Docs & DX2/12
Docs quality—
Public API2/2
Quickstart / examples0/2
Security & compliance6/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page0/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size—
Years operating—
// rankings · cost per standard workload
// overview
Voyage AI provides best-in-class embedding models and rerankers for supercharging search and retrieval over unstructured data. The models power RAG pipelines by producing embeddings that feed a vector DB, followed by a reranker to surface the most relevant context for an LLM. Available model families include general-purpose, domain-specific (finance, legal, code), and company-specific fine-tunes.
Best for: RAG retrieval quality on unstructured data
// security & compliance
✓ SOC 2✗ ISO 27001✗ GDPR✓ HIPAA
// features
- High accuracy retrieval
- Low dimensionality (3x-8x shorter vectors)
- Low latency (4x smaller model)
- Cost-efficient inference (2x cheaper)
- Long context (32K tokens)
- Modular plug-and-play with any vector DB and LLM