SourceScore

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

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. [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. [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.json

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JavaScript / 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()