Chang She 9a9a73a65d [python] Use pydantic for embedding function persistence (#467) ...

1. Support persistent embedding function so users can just search using
query string
2. Add fixed size list conversion for multiple vector columns
3. Add support for empty query (just apply select/where/limit).
4. Refactor and simplify some of the data prep code

---------

Co-authored-by: Chang She <chang@lancedb.com>
Co-authored-by: Weston Pace <weston.pace@gmail.com>

2023-09-05 21:30:45 -07:00

..

test_context.py

[Python] Updated to_df implementation in Contextualizer class (#174)

2023-06-14 09:22:32 -07:00

test_db.py

[python] Use pydantic for embedding function persistence (#467)

2023-09-05 21:30:45 -07:00

test_e2e_remote_db.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_embeddings.py

[python] Use pydantic for embedding function persistence (#467)

2023-09-05 21:30:45 -07:00

test_fts.py

chore: upgrade Lance and rename score to _distance (#398)

2023-08-11 21:42:33 -07:00

test_io.py

isort entire repo (#200)

2023-06-15 20:12:10 -04:00

test_pydantic.py

Improve pydantic integration (#384)

2023-07-31 12:16:44 -04:00

test_query.py

[python] Use pydantic for embedding function persistence (#467)

2023-09-05 21:30:45 -07:00

test_remote_client.py

Handle NaN input data (#241)

2023-07-04 20:00:46 -07:00

test_remote_db.py

[Python] Initial support of cloud API (#260)

2023-07-07 15:41:15 -07:00

test_table.py

[python] Use pydantic for embedding function persistence (#467)

2023-09-05 21:30:45 -07:00

test_util.py

windows paths

2023-05-04 11:41:05 -07:00