Verified claim · AI-ML · 100% confidence
BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI).
Last verified 2026-05-16 · Methodology veritas-v0.1 · c81c33fa85a33cc8
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Structured fields
- Subject
- BGE embeddings
- Predicate
publicly_released_on- Object
- 2023-08 by Beijing Academy of AI (BAAI)
- Confidence
- 100%
- Tags
- bge · baai · embeddings · open-weights · released_on · 2023
Sources (2)
[1] model card · Beijing Academy of AI (BAAI) · 2023-08-02
BGE-large-en-v1.5 — Hugging Face model card“BAAI General Embedding (BGE) is a series of general-purpose embedding models for English and Chinese, optimized for retrieval-augmented generation tasks. BGE-large-en achieved state-of-the-art performance on the MTEB benchmark at release.”
[2] github release · BAAI / FlagOpen · 2023-08-02
FlagEmbedding — official BAAI repository
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BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI). — SourceScore Claim c81c33fa85a33cc8 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.jsonEmbed this claim
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cURL
curl https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_bge_embeddings_fact() -> dict:
"""Fetch the verified SourceScore claim for BGE embeddings."""
r = httpx.get("https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.json")
return r.json()