rename (#2)

docs/docs/modules/data_connection/document_transformers/index.mdx

@@ -44,7 +44,7 @@ LangChain offers many different types of text splitters. These all live in the `
 | Token     | Tokens                                |               | Splits text on tokens. There exist a few different ways to measure tokens.                                                                                                              |
 | Character | A user defined character              |               | Splits text based on a user defined character. One of the simpler methods.                                                                                                              |
 | [Experimental] Semantic Chunker | Sentences             |               | First splits on sentences. Then combines ones next to each other if they are semantically similar enough. Taken from [Greg Kamradt](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb)                                                                                                              |
-| Semantic Text Splitter | Semantics             |    ✅           | Breaks down a piece of text into segments. Instead of merely using punctuation and newlines to divide the text, it identifies distinct topics that will work well together and will form a coherent piece of text. |
+| AI21 Semantic Text Splitter | Semantics             |    ✅           | Breaks down a piece of text into segments. Instead of merely using punctuation and newlines to divide the text, it identifies distinct topics that will work well together and will form a coherent piece of text. |
 
 
 ## Evaluate text splitters