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potiuk merged 2 commits into from
Jun 21, 2025
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docs: update vertex AI generative model documentation #51983

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f2820b1
docs: update vertex AI generative model documentation
tm-kyle-naranjo Jun 21, 2025
60013f3
chore: add multimodal to spelling wordlist
teslakoile Jun 21, 2025
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1 change: 1 addition & 0 deletions docs/spelling_wordlist.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -1154,6 +1154,7 @@ mssql
mTLS
mtls
muldelete
multimodal
Multinamespace
mutex
mv
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9 changes: 4 additions & 5 deletions providers/google/src/airflow/providers/google/cloud/operators/vertex_ai/generative_model.py
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Expand Up @@ -44,7 +44,7 @@ class TextEmbeddingModelGetEmbeddingsOperator(GoogleCloudBaseOperator):
:param location: Required. The ID of the Google Cloud location that the
service belongs to (templated).
:param prompt: Required. Inputs or queries that a user or a program gives
to the Vertex AI PaLM API, in order to elicit a specific response (templated).
to the Vertex AI Generative Model API, in order to elicit a specific response (templated).
:param pretrained_model: Required. Model, optimized for performing text embeddings.
:param gcp_conn_id: The connection ID to use connecting to Google Cloud.
:param impersonation_chain: Optional service account to impersonate using short-term
Expand Down Expand Up @@ -112,10 +112,9 @@ class GenerativeModelGenerateContentOperator(GoogleCloudBaseOperator):
:param safety_settings: Optional. Per request settings for blocking unsafe content.
:param tools: Optional. A list of tools available to the model during evaluation, such as a data store.
:param system_instruction: Optional. An instruction given to the model to guide its behavior.
:param pretrained_model: Required. Model,
supporting prompts with text-only input, including natural language
tasks, multi-turn text and code chat, and code generation. It can
output text and code.
:param pretrained_model: Required. The name of the model to use for content generation,
which can be a text-only or multimodal model. For example, `gemini-pro` or
`gemini-pro-vision`.
:param gcp_conn_id: The connection ID to use connecting to Google Cloud.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
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