docs: add YAML example to DocumentSplitter documentation (#11142)

Co-authored-by: Julian Risch <julian.risch@deepset.ai>

Author: ritikraj2425

docs-website/docs/pipeline-components/preprocessors/documentsplitter.mdx

@@ -95,3 +95,64 @@ path = "path/to/your/files"
 files = list(Path(path).glob("*.md"))
 p.run({"text_file_converter": {"sources": files}})
 ```
+
+### In YAML
+
+This is the YAML representation of the indexing pipeline shown above. It reads text files, cleans the text, splits it into individual sentences, and writes them to an in-memory document store.
+
+```yaml
+components:
+  cleaner:
+    init_parameters:
+      ascii_only: false
+      keep_id: false
+      remove_empty_lines: true
+      remove_extra_whitespaces: true
+      remove_regex: null
+      remove_repeated_substrings: false
+      remove_substrings: null
+      replace_regexes: null
+      strip_whitespaces: false
+      unicode_normalization: null
+    type: haystack.components.preprocessors.document_cleaner.DocumentCleaner
+  splitter:
+    init_parameters:
+      extend_abbreviations: true
+      language: en
+      respect_sentence_boundary: false
+      skip_empty_documents: true
+      split_by: sentence
+      split_length: 1
+      split_overlap: 0
+      split_threshold: 0
+      use_split_rules: true
+    type: haystack.components.preprocessors.document_splitter.DocumentSplitter
+  text_file_converter:
+    init_parameters:
+      encoding: utf-8
+      store_full_path: false
+    type: haystack.components.converters.txt.TextFileToDocument
+  writer:
+    init_parameters:
+      document_store:
+        init_parameters:
+          bm25_algorithm: BM25L
+          bm25_parameters: {}
+          bm25_tokenization_regex: (?u)\\b\\w+\\b
+          embedding_similarity_function: dot_product
+          index: 64e4f9ab-87fb-47fd-b390-dabcfda61447
+          return_embedding: true
+        type: haystack.document_stores.in_memory.document_store.InMemoryDocumentStore
+      policy: NONE
+    type: haystack.components.writers.document_writer.DocumentWriter
+connection_type_validation: true
+connections:
+- receiver: cleaner.documents
+  sender: text_file_converter.documents
+- receiver: splitter.documents
+  sender: cleaner.documents
+- receiver: writer.documents
+  sender: splitter.documents
+max_runs_per_component: 100
+metadata: {}
+```