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[feat] Implement OpenAI APIs in qdrant

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Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
This commit is contained in:
Varsha Prasad Narsing 2025-07-30 17:09:01 -07:00
parent f3d5459647
commit b0e435808a
13 changed files with 205 additions and 119 deletions
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2
llama_stack/providers/registry/vector_io.py
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@ -460,6 +460,7 @@ See [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more
module="llama_stack.providers.inline.vector_io.qdrant",
config_class="llama_stack.providers.inline.vector_io.qdrant.QdrantVectorIOConfig",
api_dependencies=[Api.inference],
optional_api_dependencies=[Api.files],
description=r"""
[Qdrant](https://qdrant.tech/documentation/) is an inline and remote vector database provider for Llama Stack. It
allows you to store and query vectors directly in memory.
@ -516,6 +517,7 @@ Please refer to the inline provider documentation.
""",
),
api_dependencies=[Api.inference],
optional_api_dependencies=[Api.files],
),
remote_provider_spec(
Api.vector_io,