chunking/chunkers/langchain_chunker.py [125:135]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            sentence_endings = [".", "!", "?"]
            word_breaks = [" ", "\n", "\t"]
            splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(
                separators=sentence_endings + word_breaks,
                chunk_size=self.max_chunk_size, 
                chunk_overlap=self.token_overlap
            )
    
        chunked_content_list = splitter.split_text(text)
    
        for chunked_content in chunked_content_list:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



chunking/chunkers/transcription_chunker.py [103:112]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        sentence_endings = [".", "!", "?"]
        word_breaks = [" ", "\n", "\t"]
        splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(
            separators=sentence_endings + word_breaks,
            chunk_size=self.max_chunk_size, 
            chunk_overlap=self.token_overlap
        )
        chunked_content_list = splitter.split_text(text)
    
        for chunked_content in chunked_content_list:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -