SourceScore

Verified claim · AI-ML · 95% confidence

Voyage AI embeddings founded in: 2023 — embedding-model-specialist company.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 688dd4afb20004d9

SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.

Structured fields

Subject
Voyage AI embeddings
Predicate
founded_in
Object
2023 — embedding-model-specialist company
Confidence
95%
Tags
voyage-ai · embeddings · company · founded · 2023

Sources (2)

  1. [1] official blog · Voyage AI · 2023-10-29

    Voyage AI launches embedding models
    Today we are launching Voyage embeddings, the next-generation general-purpose embedding models trained from scratch by Voyage AI.
  2. [2] docs · Crunchbase · 2023-01-01

    Voyage AI — Crunchbase company profile

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Voyage AI embeddings founded in: 2023 — embedding-model-specialist company. — SourceScore Claim 688dd4afb20004d9 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json

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Frequently asked questions

Is the claim "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company." verified?

Yes — SourceScore verified this claim with 95% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.

What is the evidence for "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."?

Evidence comes from 2 primary sources: Voyage AI, Crunchbase. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json includes an HMAC-SHA256 signature for audit verification.

When was this claim last verified by SourceScore?

Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

How can I cite this SourceScore claim in my code or article?

Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.

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cURL

curl https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Voyage AI embeddings founded in: 2023 — embedding-model-specialist company."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_voyage_ai_embeddings_fact() -> dict: """Fetch the verified SourceScore claim for Voyage AI embeddings.""" r = httpx.get("https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json") return r.json()
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