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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: simplify sorting logic in query execution 
Signed-off-by: Yassin Nouh <70436855+YassinNouh21@users.noreply.github.com>
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@YassinNouh21
YassinNouh21 committed Apr 9, 2025
commit 0169cb6328d86993f2d3c5e83c19d4965fb1c6bc
17 changes: 3 additions & 14 deletions sdk/python/feast/infra/online_stores/postgres_online_store/postgres.py
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Expand Up @@ -684,21 +684,10 @@ def retrieve_online_documents_v2(
entities_dict[key]["text_rank"], float(text_rank)
)

if embedding is not None and query_string is not None:

def sort_key(x):
return x["vector_distance"]
elif embedding is not None:

def sort_key(x):
return x["vector_distance"]
else: # Text only

def sort_key(x):
return x["text_rank"]

sorted_entities = sorted(
entities_dict.values(), key=sort_key, 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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