chore: Clean up write_turbopuffer guide (#5093)

## Changes Made

1. Fix typo
2. Add proper links in example

Author: desmondcheongzx

docs/connectors/turbopuffer.md

@@ -30,7 +30,7 @@ This example does the following:
         model = "BAAI/bge-base-en-v1.5"
 
     turbopuffer_config = {
-        "namespace": "daft-tpuf-example2",
+        "namespace": "daft-tpuf-example",
         "region": "gcp-us-central1",
         "distance_metric": "cosine_distance",
         "schema": {

docs/examples/text-embeddings.md

@@ -232,7 +232,7 @@ Now we'll execute the complete data processing pipeline:
 5. **Generate embeddings**: Apply embedding UDF to text
 6. **Create IDs**: Generate unique IDs combining URL and chunk_id
 7. **Select columns**: Keep only the necessary columns
-8. **Write to Turbopuffer**: Store data and vectors in Turbopuffer
+8. **Write to Turbopuffer**: Store data and vectors in Turbopuffer using Daft's [`DataFrame.write_turbopuffer`](../api/dataframe#daft.DataFrame.write_turbopuffer) method
 
 If all works out well, when you run this script on your cluster, you should notice that network I/O, CPU work, and GPU work are pipelined to run in parallel, and you should see high GPU utilization :)