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docs: update configuration documentation for global default embedding model

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- Clarified the optional nature of the default_embedding_dimension in the YAML configuration, specifying that it defaults to 384 if omitted.
- Added a note in the VectorStoreConfig class to indicate that the router will fall back to 384 as the default dimension if not set.
This commit is contained in:
skamenan7 2025-07-30 13:20:59 -04:00
parent 600c3d5188
commit f9afad99f8
2 changed files with 4 additions and 3 deletions
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llama_stack/apis/common/vector_store_config.py
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@ -41,5 +41,6 @@ class VectorStoreConfig(BaseModel):
default_embedding_dimension: int | None = Field(
default_factory=lambda: int(os.getenv("LLAMA_STACK_DEFAULT_EMBEDDING_DIMENSION", 0)) or None, ge=1
)
# Note: If not set, the router will fall back to 384 as the default dimension
model_config = ConfigDict(frozen=True)