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refactor: switch to the new default nomic-embed-text-v1.5 embedding model in LS

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r3v5 2025-08-18 10:34:46 +01:00
parent f1748e2f92
commit 1d0f0a0d8e
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63 changed files with 16170 additions and 186 deletions
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4
llama_stack/apis/vector_io/vector_io.py
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@ -521,7 +521,7 @@ class VectorIO(Protocol):
chunking_strategy: dict[str, Any] | None = None,
metadata: dict[str, Any] | None = None,
embedding_model: str | None = None,
embedding_dimension: int | None = 384,
embedding_dimension: int | None = 768,
provider_id: str | None = None,
) -> VectorStoreObject:
"""Creates a vector store.
@ -532,7 +532,7 @@ class VectorIO(Protocol):
:param chunking_strategy: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy.
:param metadata: Set of 16 key-value pairs that can be attached to an object.
:param embedding_model: The embedding model to use for this vector store.
:param embedding_dimension: The dimension of the embedding vectors (default: 384).
:param embedding_dimension: The dimension of the embedding vectors (default: 768).
:param provider_id: The ID of the provider to use for this vector store.
:returns: A VectorStoreObject representing the created vector store.
"""