Skip to content

feat: Support multimodal embedding for Gemini Embedding 2.0 and MaaS models in Models.embed_content() (Vertex AI API) #1835

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
copybara-service wants to merge 1 commit into
base: main
Choose a base branch
from
Open

feat: Support multimodal embedding for Gemini Embedding 2.0 and MaaS models in Models.embed_content() (Vertex AI API) #1835

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 9 additions & 0 deletions google/genai/_transformers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1368,3 +1368,12 @@ def t_metrics(
)
metrics_payload.append(metric_payload_item)
return metrics_payload


def t_is_vertex_embed_content_model(model: str) -> bool:
return (
# Gemini Embeddings except gemini-embedding-001.
'gemini' in model and model != 'gemini-embedding-001'
# Open-source MaaS embedding models.
or 'maas' in model
)
Loading