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feat: Add retrieve online documents v2 method into pgvector by YassinNouh21 · Pull Request #5253 · feast-dev/feast · GitHub
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feat: Add retrieve online documents v2 method into pgvector #5253

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Merged
franciscojavierarceo merged 11 commits into from
Apr 11, 2025
Merged

feat: Add retrieve online documents v2 method into pgvector #5253

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a03b8c4
feat: add online document retrieval with hybrid search capabilities
YassinNouh21 Apr 8, 2025
75233cf
test: add integration tests for hybrid search and document retrieval
YassinNouh21 Apr 8, 2025
776c327
fix formatting
YassinNouh21 Apr 8, 2025
e1f0cae
fix: Refactor string_fields assignment to filter features by dtype an…
YassinNouh21 Apr 9, 2025
246d6a6
fix: improve query execution logic in postgres.py
YassinNouh21 Apr 9, 2025
6e3413c
fix linter
YassinNouh21 Apr 9, 2025
0169cb6
fix: simplify sorting logic in query execution
YassinNouh21 Apr 9, 2025
d35e0ba
fix formatting
YassinNouh21 Apr 9, 2025
86d40b0
fix: update string feature check to use ValueType enumeration
YassinNouh21 Apr 9, 2025
55dec54
formatting
YassinNouh21 Apr 9, 2025
15dcabf
fix datetime
YassinNouh21 Apr 10, 2025
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fix formatting 
Signed-off-by: Yassin Nouh <70436855+YassinNouh21@users.noreply.github.com>
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@YassinNouh21
YassinNouh21 committed Apr 9, 2025
commit d35e0ba1baf900aec06bf5314133b7e7b43d48f4
8 changes: 5 additions & 3 deletions sdk/python/feast/infra/online_stores/postgres_online_store/postgres.py
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Expand Up @@ -685,9 +685,11 @@ def retrieve_online_documents_v2(
)

sorted_entities = sorted(
entities_dict.values(),
key=lambda x: x["vector_distance"] if embedding is not None else x["text_rank"],
reverse=(embedding is None)
entities_dict.values(),
key=lambda x: x["vector_distance"]
if embedding is not None
else x["text_rank"],
reverse=(embedding is None),
)[:top_k]

result: List[
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