fix: answerdotai rerankers argument passing (#2117)

This fixes an issue for people wishing to use different kinds of
rerankers in lancedb via AnswerDotAI rerankers. Currently, the arguments
are passed sequentially, but they don't match the[Reranker class
implementation](https://github.com/AnswerDotAI/rerankers/blob/d604a8c47d7a9fce1b6ef0cec53f0e807d6cc0fa/rerankers/reranker.py#L179):
the second argument is expected to be an optional "lang" for default
models, while model_type should be passed explicitly.

The one line changes in this PR fixes it and enables the use of other
methods (eg LLMs-as-rerankers)

python/python/lancedb/rerankers/answerdotai.py

@@ -42,7 +42,9 @@ class AnswerdotaiRerankers(Reranker):
         rerankers = attempt_import_or_raise(
             "rerankers"
         )  # import here for faster ops later
-        self.reranker = rerankers.Reranker(model_name, model_type, **kwargs)
+        self.reranker = rerankers.Reranker(
+            model_name=model_name, model_type=model_type, **kwargs
+        )
 
     def _rerank(self, result_set: pa.Table, query: str):
         docs = result_set[self.column].to_pylist()