docs: sync Haystack API reference on Docusaurus

docs-website/reference/haystack-api/joiners_api.md

@@ -299,7 +299,9 @@ It supports different join modes:
 
 ```python
 from haystack import Pipeline, Document
-from haystack.components.embedders import SentenceTransformersTextEmbedder, SentenceTransformersDocumentEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.joiners import DocumentJoiner
 from haystack.components.retrievers import InMemoryBM25Retriever
 from haystack.components.retrievers import InMemoryEmbeddingRetriever

docs-website/reference/haystack-api/preprocessors_api.md

@@ -488,7 +488,8 @@ This component is inspired by [5 Levels of Text Splitting](https://github.com/Fu
 
 ```python
 from haystack import Document
-from haystack.components.embedders import SentenceTransformersDocumentEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.preprocessors import EmbeddingBasedDocumentSplitter
 
 # Create a document with content that has a clear topic shift

docs-website/reference/haystack-api/retrievers_api.md

@@ -408,7 +408,9 @@ In query pipelines, use a TextEmbedder to embed queries and send them to the ret
 
 ```python
 from haystack import Document
-from haystack.components.embedders import SentenceTransformersDocumentEmbedder, SentenceTransformersTextEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
 from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever
 from haystack.document_stores.in_memory import InMemoryDocumentStore
 
@@ -575,8 +577,9 @@ The results are combined and sorted by relevance score.
 from haystack import Document
 from haystack.document_stores.in_memory import InMemoryDocumentStore
 from haystack.document_stores.types import DuplicatePolicy
-from haystack.components.embedders import SentenceTransformersTextEmbedder
-from haystack.components.embedders import SentenceTransformersDocumentEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.retrievers import InMemoryEmbeddingRetriever
 from haystack.components.writers import DocumentWriter
 from haystack.components.retrievers import MultiQueryEmbeddingRetriever
@@ -878,7 +881,9 @@ from haystack.document_stores.in_memory import InMemoryDocumentStore
 from haystack.document_stores.types import DuplicatePolicy
 from haystack.components.retrievers import InMemoryBM25Retriever, InMemoryEmbeddingRetriever
 from haystack.components.retrievers import TextEmbeddingRetriever, MultiRetriever
-from haystack.components.embedders import SentenceTransformersTextEmbedder, SentenceTransformersDocumentEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.writers import DocumentWriter
 
 documents = [
@@ -1249,7 +1254,9 @@ The results are sorted by relevance score.
 from haystack import Document
 from haystack.document_stores.in_memory import InMemoryDocumentStore
 from haystack.document_stores.types import DuplicatePolicy
-from haystack.components.embedders import SentenceTransformersTextEmbedder, SentenceTransformersDocumentEmbedder
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.retrievers import InMemoryEmbeddingRetriever, TextEmbeddingRetriever
 from haystack.components.writers import DocumentWriter
 

docs-website/reference/haystack-api/tools_api.md

@@ -446,10 +446,9 @@ Below is an example of creating a PipelineTool
 from haystack import Document, Pipeline
 from haystack.dataclasses import ChatMessage
 from haystack.document_stores.in_memory import InMemoryDocumentStore
-from haystack.components.embedders.sentence_transformers_text_embedder import SentenceTransformersTextEmbedder
-from haystack.components.embedders.sentence_transformers_document_embedder import (
-    SentenceTransformersDocumentEmbedder
-)
+# Requires: pip install sentence-transformers-haystack
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersTextEmbedder
+from haystack_integrations.components.embedders.sentence_transformers import SentenceTransformersDocumentEmbedder
 from haystack.components.generators.chat import OpenAIChatGenerator
 from haystack.components.retrievers import InMemoryEmbeddingRetriever
 from haystack.components.agents import Agent