rosag/Philosophy-RAG-demo
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🚚 Rename everything to google vertex

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This commit is contained in:
Ruben Lucas 2025-04-16 11:06:56 +02:00
parent 996f3bf7a2
commit 9777c2ff74
2 changed files with 24 additions and 15 deletions
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32
generic_rag/backend/models.py
View File

@ -56,15 +56,17 @@ def get_chat_model(settings: AppSettings) -> BaseChatModel:
return ChatOpenAI(model=settings.openai.chat_model, openai_api_key=settings.openai.api_key.get_secret_value())
if settings.chat_backend == ChatBackend.google_vertex:
if not settings.google:
raise ValueError("Google Vertex chat backend selected, but 'google' configuration section is missing.")
if settings.google.chat_model:
if not settings.google_vertex:
raise ValueError(
"Google Vertex chat backend selected, but 'google_vertex' configuration section is missing."
)
if settings.google_vertex.chat_model:
model_name = settings.google.chat_model
logger.info(f"Using Google Vertex model: {model_name}")
return ChatVertexAI(
model_name=settings.google.chat_model,
project=settings.google.project_id,
location=settings.google.location,
model_name=settings.google_vertex.chat_model,
project=settings.google_vertex.project_id,
location=settings.google_vertex.location,
)
if settings.chat_backend == ChatBackend.aws:
@ -135,14 +137,22 @@ def get_embedding_model(settings: AppSettings) -> Embeddings:
return OpenAIEmbeddings(model=model_name, openai_api_key=settings.openai.api_key.get_secret_value())
if settings.emb_backend == EmbeddingBackend.google_vertex:
if not settings.google:
raise ValueError("Google Vertex embedding backend selected, but 'google' configuration section is missing.")
if not settings.google_vertex:
raise ValueError(
"Google Vertex embedding backend selected, but 'google_vertex' configuration section is missing."
)
model_name = "textembedding-gecko@001" # Example default
if settings.google.emb_model:
model_name = settings.google.emb_model
if (
not settings.google_vertex.emb_model
or not settings.google_vertex.project_id
or not settings.google_vertex.location
):
raise ValueError("Google Vertex configuration requires 'emb_model', 'project_id', and 'location'.")
logger.info(f"Using Google Vertex embedding model: {model_name}")
return VertexAIEmbeddings(
model_name=model_name, project=settings.google.project_id, location=settings.google.location
model_name=settings.google_vertex.emb_model,
project=settings.google_vertex.project_id,
location=settings.google_vertex.location,
)
if settings.emb_backend == EmbeddingBackend.aws:

7
generic_rag/parsers/config.py
View File

@ -52,10 +52,9 @@ class OpenAISettings(BaseModel):
api_key: Optional[SecretStr] = None
class GoogleSettings(BaseModel):
"""Google specific settings (Vertex AI or GenAI)."""
class GoogleVertexSettings(BaseModel):
"""Google Vertex specific settings."""
api_key: Optional[SecretStr] = None
project_id: Optional[str] = None
location: Optional[str] = None
chat_model: Optional[str] = None
@ -124,7 +123,7 @@ class AppSettings(BaseModel):
# --- Provider-specific settings ---
azure: Optional[AzureSettings] = None
openai: Optional[OpenAISettings] = None
google: Optional[GoogleSettings] = None
google_vertex: Optional[GoogleVertexSettings] = None
aws: Optional[AwsSettings] = None
local: Optional[LocalSettings] = None
huggingface: Optional[HuggingFaceSettings] = None # Separate HF config if needed