Comments (4)
Ah! My error was due to using a list[float] instead of a numpy.array. I did not realize the np.array aspect was important. I suggest clarifying that in the README, assuming that's indeed the case.
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I checked the unit tests for this repo and noticed the psycopg2 test doesn't use the <-> operator, so maybe there's a reason for that?
from pgvector-python.
I face the same problem, and realize that pgvector-python requires numpy array. It seems like it cannot process python array as input.
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Hi @pamelafox and @MobisParkHeekang, check out #4.
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Related Issues (20)
- Unable to run the extension migration HOT 2
- Cannot adapt type 'ndarray' with placeholder %s HOT 5
- How to rebuild indexes with Django? HOT 2
- ModuleNotFoundError: No module named 'pgvector.psycopg2'; 'pgvector' is not a package HOT 3
- Setting HNSW ef_search variable HOT 1
- Average embeddings returns string not np array HOT 10
- How to set query options (e.g. # of ivfflat.probe) when querying a table with IVFFlat or HNSW index? HOT 1
- Question : can i use 1024 dimensions size vector ? HOT 1
- examples seem to not work HOT 3
- Error when querying for the most similar vector HOT 3
- Searching for vectors when there is no default length HOT 1
- Add support to "vector_dims" when using sqlalchemy ORM HOT 3
- Error when querying nearest vector HOT 1
- Question on (testing) cosine_similiarity with WHERE clauses HOT 2
- [SQLModel] Select both columns and distance in the same query HOT 2
- Searching similar vectors in SQLModel HOT 5
- SQLAlchemy order_by with ivfflat not returning any results HOT 1
- Advice for properly timing Django queryset evaluation HOT 3
- How insert embedding data use sqlalchemy session.execute HOT 1
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