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feat: Add openAI compatible APIs to Qdrant (#2465)
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# What does this PR do?
Adds support to Vector store Open AI APIs in Qdrant.

<!-- If resolving an issue, uncomment and update the line below -->
 Closes #2463 


## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->

Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
Co-authored-by: ehhuang <ehhuang@users.noreply.github.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>
This commit is contained in:
Varsha 2025-07-31 21:41:34 -07:00 • committed by GitHub
parent 194abe7734
commit 1f0766308d
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GPG key ID: B5690EEEBB952194
13 changed files with 205 additions and 120 deletions
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2
tests/integration/vector_io/test_openai_vector_stores.py
View file

@ -29,6 +29,8 @@ def skip_if_provider_doesnt_support_openai_vector_stores(client_with_models):
"inline::chromadb",
"remote::pgvector",
"remote::chromadb",
"remote::qdrant",
"inline::qdrant",
"remote::weaviate",
]:
return

4
tests/integration/vector_io/test_vector_io.py
View file

@ -125,6 +125,8 @@ def test_insert_chunks(client_with_empty_registry, embedding_model_id, embedding
def test_insert_chunks_with_precomputed_embeddings(client_with_empty_registry, embedding_model_id, embedding_dimension):
vector_io_provider_params_dict = {
"inline::milvus": {"score_threshold": -1.0},
"remote::qdrant": {"score_threshold": -1.0},
"inline::qdrant": {"score_threshold": -1.0},
}
vector_db_id = "test_precomputed_embeddings_db"
client_with_empty_registry.vector_dbs.register(
@ -168,6 +170,8 @@ def test_query_returns_valid_object_when_identical_to_embedding_in_vdb(
):
vector_io_provider_params_dict = {
"inline::milvus": {"score_threshold": 0.0},
"remote::qdrant": {"score_threshold": 0.0},
"inline::qdrant": {"score_threshold": 0.0},
}
vector_db_id = "test_precomputed_embeddings_db"
client_with_empty_registry.vector_dbs.register(