Will Jones ecdee4d2b1 feat(python): add search() method to async API (#2049) ...

Reviving #1966.

Closes #1938

The `search()` method can apply embeddings for the user. This simplifies
hybrid search, so instead of writing:

```python
vector_query = embeddings.compute_query_embeddings("flower moon")[0]
await (
    async_tbl.query()
    .nearest_to(vector_query)
    .nearest_to_text("flower moon")
    .to_pandas()
)
```

You can write:

```python
await (await async_tbl.search("flower moon", query_type="hybrid")).to_pandas()
```

Unfortunately, we had to do a double-await here because `search()` needs
to be async. This is because it often needs to do IO to retrieve and run
an embedding function.

2025-02-24 14:19:25 -08:00

..

duckdb.md

[docs] Fix broken links and clarify language in integrations docs (#1209)

2024-04-11 15:32:08 +05:30

pandas_and_pyarrow.md

docs: add async examples to doc (#1941)

2025-01-07 15:10:25 -08:00

polars_arrow.md

feat(python): add search() method to async API (#2049)

2025-02-24 14:19:25 -08:00

pydantic.md

docs: improve pydantic integration docs (#2136)

2025-02-21 12:48:37 -08:00

python.md

fix(python): various fixes for async query builders (#2048)

2025-01-20 16:14:34 -08:00

saas-python.md

docs: improve optimization docs (#1957)

2024-12-19 10:55:11 -08:00