Computational Model Studio · Model release

BGE English v1.5

Produces numerical representations of English text for similarity-based applications.

Developer: Beijing Academy of Artificial Intelligence · Last verified:

What it is designed to do

Encode English text as vectors for similarity-based use.

Primary contribution
representation
Input
text
Output
number vector (embedding vector)

Documented uses: Similarity-based passage search is a documented downstream use.

Access and deployment

  • BGE large English v1.5 Hub files — available. Public repository files; applicable terms still require review. Artifact documentation Variant: BGE large English v1.5. Local hardware requirements have not been verified. Artifact-specific rights have not yet been verified from the actual terms.

Variants

  • BGE large English v1.5 — Large size sibling within BGE English v1.5; other sizes retain separate identities.
Technical profile and review notes
Construction
learned
Representation
Unknown from reviewed sources
Normalized architecture tags
No normalized architecture tag assigned
Lifecycle
active

Inclusion rationale: A downloadable non-generative encoder tests representation and variant-aware access.

Limitations: Unknown from reviewed sources

Sources and related Studio records

Sources

  1. BAAI/bge-large-en-v1.5 model cardBAAI · checked 2026-09-29

Connections