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docs: update migration reference (#1837)

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# PR Summary
PR fixes the `migration.md` reference in `docs/src/guides/tables.md`. On
the way, it also fixes some typos found in that document.

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
This commit is contained in:
Emmanuel Ferdman
2024-11-19 00:33:32 +02:00
committed by GitHub
parent 267aa83bf8
commit 83ae52938a
1 changed files with 4 additions and 4 deletions
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docs/src/guides/tables.md
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@@ -274,7 +274,7 @@ table = db.create_table(table_name, schema=Content)
Sometimes your data model may contain nested objects.
For example, you may want to store the document string
and the document soure name as a nested Document object:
and the document source name as a nested Document object:
```python
class Document(BaseModel):
@@ -466,7 +466,7 @@ You can create an empty table for scenarios where you want to add data to the ta
## Adding to a table
After a table has been created, you can always add more data to it usind the `add` method
After a table has been created, you can always add more data to it using the `add` method
=== "Python"
You can add any of the valid data structures accepted by LanceDB table, i.e, `dict`, `list[dict]`, `pd.DataFrame`, or `Iterator[pa.RecordBatch]`. Below are some examples.
@@ -535,7 +535,7 @@ After a table has been created, you can always add more data to it usind the `ad
```
??? "Ingesting Pydantic models with LanceDB embedding API"
When using LanceDB's embedding API, you can add Pydantic models directly to the table. LanceDB will automatically convert the `vector` field to a vector before adding it to the table. You need to specify the default value of `vector` feild as None to allow LanceDB to automatically vectorize the data.
When using LanceDB's embedding API, you can add Pydantic models directly to the table. LanceDB will automatically convert the `vector` field to a vector before adding it to the table. You need to specify the default value of `vector` field as None to allow LanceDB to automatically vectorize the data.
```python
import lancedb
@@ -880,4 +880,4 @@ There are three possible settings for `read_consistency_interval`:
Learn the best practices on creating an ANN index and getting the most out of it.
[^1]: The `vectordb` package is a legacy package that is deprecated in favor of `@lancedb/lancedb`. The `vectordb` package will continue to receive bug fixes and security updates until September 2024. We recommend all new projects use `@lancedb/lancedb`. See the [migration guide](migration.md) for more information.
[^1]: The `vectordb` package is a legacy package that is deprecated in favor of `@lancedb/lancedb`. The `vectordb` package will continue to receive bug fixes and security updates until September 2024. We recommend all new projects use `@lancedb/lancedb`. See the [migration guide](../migration.md) for more information.