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713768e
feat: add document store
HaoXuAI Mar 31, 2024
58d5d94
feat: add document store
HaoXuAI Mar 31, 2024
2cd73d1
feat: add document store
HaoXuAI Mar 31, 2024
d2e0a59
feat: add document store
HaoXuAI Mar 31, 2024
7079e7f
remove DocumentStore
HaoXuAI Apr 9, 2024
8c9ee97
format
HaoXuAI Apr 9, 2024
513dd39
Merge branch 'master' into feat-documentstore
HaoXuAI Apr 9, 2024
29d98cd
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HaoXuAI Apr 9, 2024
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HaoXuAI Apr 9, 2024
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HaoXuAI Apr 9, 2024
7935071
remove unused vars
HaoXuAI Apr 9, 2024
ba39f93
add test
HaoXuAI Apr 11, 2024
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add test
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HaoXuAI Apr 11, 2024
a2302be
fix not implemented issue
HaoXuAI Apr 11, 2024
2e6fc55
fix not implemented issue
HaoXuAI Apr 11, 2024
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fix test
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fix postgres integration test
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fix postgres test
HaoXuAI Apr 14, 2024
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fix postgres test
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fix postgres test
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fix postgres test
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HaoXuAI committed Apr 9, 2024
commit 47cd117e48dd7e2e6bd6a51a724f2bf5a3665ea8
1 change: 1 addition & 0 deletions sdk/python/feast/infra/online_stores/online_store.py
Original file line number Diff line number Diff line change
Expand Up @@ -152,6 +152,7 @@ def retrieve_online_documents(
requested_feature: The name of the feature whose embeddings should be used for retrieval.
embedding: The embeddings to use for retrieval.
top_k: The number of nearest neighbors to retrieve.

Returns:
object: A list of top k closest documents to the specified embedding. Each item in the list is a tuple
where the first item is the event timestamp for the row, and the second item is a dict of feature
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