I just upserted a vector, but when querying the same vector, it is not in the results. can someone explains what’s happening plz? code:
import pinecone
import os
# pinecone
PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY", "redacted")
PINECONE_ENVIRONMENT = os.environ.get("PINECONE_ENVIRONMENT", "us-west4-gcp")
PINECONE_INDEX_NAME = os.environ.get("PINECONE_INDEX_NAME", "redacted")
pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENVIRONMENT)
index = pinecone.Index(PINECONE_INDEX_NAME)
# upsert a vector with id "test" and [1, 1, ..., 1] as the vector and {"source": "test"} as the metadata
index.upsert(
[
(
"test",
[1] * 1536,
{"source": "test"},
),
]
)
# {'upserted_count': 1}
when querying the same vector [1,1,…, 1], i expect to see it in matches with score near 1, but it’s not there.
index.query(vector=[1] * 1536, top_k=10, include_metadata=True, include_values=False)
results:
{'matches': [{'id': '52cbd3717847f20c38a49fc6b80797c5',
'metadata': {'expiry_date': 1701648000.0},
'score': -0.021078214,
'values': []},
{'id': '7329c30cd02d5b74723203255c3746e1',
'metadata': {'expiry_date': 1702771200.0},
'score': -0.021426104,
'values': []},
...
2 posts - 1 participant