docs: fix daft links which were broken by Daft, oops

Signed-off-by: R. Tyler Croy <[email protected]>

Author: rtyler

docs/integrations/delta-lake-daft.md

@@ -1,6 +1,6 @@
 # Using Delta Lake with Daft
 
-[Daft](https://www.getdaft.io) is a framework for ETL, analytics, and ML/AI at scale with a familiar Python dataframe API, implemented in Rust.
+[Daft](https://www.daft.ai) is a framework for ETL, analytics, and ML/AI at scale with a familiar Python dataframe API, implemented in Rust.
 
 Daft and Delta Lake work really well together. Daft provides unified compute for Delta Lake’s unified storage. Together, Delta Lake and Daft give you high-performance query optimization and distributed compute on massive datasets.
 
@@ -85,7 +85,7 @@ You can use `write_deltalake` to write a Daft DataFrame to a Delta table:
 df.write_deltalake("tmp/daft-table", mode="overwrite")
 ```
 
-Daft supports multiple write modes. See the [Daft documentation](https://www.getdaft.io/projects/docs/en/stable/api/dataframe/?h=write+delta#daft.DataFrame.write_deltalake) for more information.
+Daft supports multiple write modes. See the [Daft documentation](https://docs.getdaft.io/en/stable/io/delta_lake/#write-to-delta-lake) for more information.
 
 ## What can I do with a Daft DataFrame?
 
@@ -97,7 +97,7 @@ On top of this, Daft also gives you:
 - **Expressions API** for easy column transformations
 - **UDFs** for multi-column transformation, incl. ML applications
 
-Check out the [Daft User Guide](https://www.getdaft.io/projects/docs/en/stable/index.html) for a complete list of DataFrame operations.
+Check out the [Daft User Guide](https://docs.getdaft.io/en/stable/) for a complete list of DataFrame operations.
 
 ## Data Skipping Optimizations
 
@@ -198,12 +198,12 @@ Read [High-Performance Querying on Massive Delta Lake Tables with Daft](https://
 
 Daft has a rich multimodal type-system with support for Python objects, Images, URLs, Tensors and more.
 
-The [Expressions API](https://www.getdaft.io/projects/docs/en/stable/api/expressions) provides useful tools to work with these data types. By combining multimodal data support with the [User-Defined Functions API](https://www.getdaft.io/projects/docs/en/stable/api/udf) you can run ML workloads right within your DataFrame.
+The [Expressions API](https://docs.getdaft.io/en/stable/api/expressions/#expressions) provides useful tools to work with these data types. By combining multimodal data support with the [User-Defined Functions API](https://docs.getdaft.io/en/stable/api/udf/#daft.udf.UDF) you can run ML workloads right within your DataFrame.
 
 Take a look at the notebook in the [`delta-examples` Github repository](https://github.com/delta-io/delta-examples) for a closer look at how Daft handles URLs, images and ML applications.
 
 ## Contribute to `daft`
 
 Excited about Daft and want to contribute? Join them on [Github](https://github.com/Eventual-Inc/Daft) 🚀
 
-Like many technologies, Daft collects some non-identifiable telemetry to improve the product. This is strictly non-identifiable metadata. You can disable telemetry by setting the following environment variable: `DAFT_ANALYTICS_ENABLED=0`. Read more in the [Daft documentation](https://www.getdaft.io/projects/docs/en/stable/resources/telemetry/).
+Like many technologies, Daft collects some non-identifiable telemetry to improve the product. This is strictly non-identifiable metadata. You can disable telemetry by setting the following environment variable: `DAFT_ANALYTICS_ENABLED=0`. Read more in the [Daft documentation](https://docs.getdaft.io/en/stable/resources/telemetry/#telemetry).