broken formatting (#8325)

haystack/components/builders/chat_prompt_builder.py

@@ -89,7 +89,7 @@ class ChatPromptBuilder:
 
     print(res)
     >> {'llm': {'replies': [ChatMessage(content="Here is the weather forecast for Berlin in the next 5
-    days:\n\nDay 1: Mostly cloudy with a high of 22°C (72°F) and...so it's always a good idea to check for updates
+    days:\\n\\nDay 1: Mostly cloudy with a high of 22°C (72°F) and...so it's always a good idea to check for updates
     closer to your visit.", role=<ChatRole.ASSISTANT: 'assistant'>, name=None, meta={'model': 'gpt-3.5-turbo-0613',
     'index': 0, 'finish_reason': 'stop', 'usage': {'prompt_tokens': 37, 'completion_tokens': 201,
     'total_tokens': 238}})]}}

haystack/components/embedders/hugging_face_api_document_embedder.py

@@ -26,7 +26,7 @@ class HuggingFaceAPIDocumentEmbedder:
     Embeds documents using Hugging Face APIs.
 
     Use it with the following Hugging Face APIs:
-    - [Free Serverless Inference API]((https://huggingface.co/inference-api)
+    - [Free Serverless Inference API](https://huggingface.co/inference-api)
     - [Paid Inference Endpoints](https://huggingface.co/inference-endpoints)
     - [Self-hosted Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference)
 

haystack/components/embedders/hugging_face_api_text_embedder.py

@@ -23,7 +23,7 @@ class HuggingFaceAPITextEmbedder:
     Embeds strings using Hugging Face APIs.
 
     Use it with the following Hugging Face APIs:
-    - [Free Serverless Inference API]((https://huggingface.co/inference-api)
+    - [Free Serverless Inference API](https://huggingface.co/inference-api)
     - [Paid Inference Endpoints](https://huggingface.co/inference-endpoints)
     - [Self-hosted Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference)
 

haystack/components/preprocessors/document_splitter.py

@@ -20,16 +20,16 @@ class DocumentSplitter:
     and prevents exceeding language model context limits.
 
     The DocumentSplitter is compatible with the following DocumentStores:
-    - (Astra)[https://docs.haystack.deepset.ai/docs/astradocumentstore]
-    - (Chroma)[https://docs.haystack.deepset.ai/docs/chromadocumentstore] limited support, overlapping information is
+    - [Astra](https://docs.haystack.deepset.ai/docs/astradocumentstore)
+    - [Chroma](https://docs.haystack.deepset.ai/docs/chromadocumentstore) limited support, overlapping information is
       not stored
-    - (Elasticsearch)[https://docs.haystack.deepset.ai/docs/elasticsearch-document-store]
-    - (OpenSearch)[https://docs.haystack.deepset.ai/docs/opensearch-document-store]
-    - (Pgvector)[https://docs.haystack.deepset.ai/docs/pgvectordocumentstore]
-    - (Pinecone)[https://docs.haystack.deepset.ai/docs/pinecone-document-store] limited support, overlapping
+    - [Elasticsearch](https://docs.haystack.deepset.ai/docs/elasticsearch-document-store)
+    - [OpenSearch](https://docs.haystack.deepset.ai/docs/opensearch-document-store)
+    - [Pgvector](https://docs.haystack.deepset.ai/docs/pgvectordocumentstore)
+    - [Pinecone](https://docs.haystack.deepset.ai/docs/pinecone-document-store) limited support, overlapping
        information is not stored
-    - (Qdrant)[https://docs.haystack.deepset.ai/docs/qdrant-document-store]
-    - (Weaviate)[https://docs.haystack.deepset.ai/docs/weaviatedocumentstore]
+    - [Qdrant](https://docs.haystack.deepset.ai/docs/qdrant-document-store)
+    - [Weaviate](https://docs.haystack.deepset.ai/docs/weaviatedocumentstore)
 
     ### Usage example
 

haystack/components/rankers/meta_field.py

@@ -20,7 +20,8 @@ class MetaFieldRanker:
     The ranking can be performed in descending order or ascending order.
 
     Usage example:
-    ```
+
+    ```python
     from haystack import Document
     from haystack.components.rankers import MetaFieldRanker
 
@@ -34,6 +35,7 @@ class MetaFieldRanker:
     output = ranker.run(documents=docs)
     docs = output["documents"]
     assert docs[0].content == "Barcelona"
+    ```
     """
 
     def __init__(
@@ -69,11 +71,11 @@ class MetaFieldRanker:
         :param missing_meta:
             What to do with documents that are missing the sorting metadata field.
             Possible values are:
-            - 'drop' will drop the documents entirely.
-            - 'top' will place the documents at the top of the metadata-sorted list
-                (regardless of 'ascending' or 'descending').
-            - 'bottom' will place the documents at the bottom of metadata-sorted list
-                (regardless of 'ascending' or 'descending').
+                - 'drop' will drop the documents entirely.
+                - 'top' will place the documents at the top of the metadata-sorted list
+                    (regardless of 'ascending' or 'descending').
+                - 'bottom' will place the documents at the bottom of metadata-sorted list
+                    (regardless of 'ascending' or 'descending').
         :param meta_value_type:
             Parse the meta value into the data type specified before sorting.
             This will only work if all meta values stored under `meta_field` in the provided documents are strings.

haystack/components/retrievers/sentence_window_retriever.py

@@ -25,12 +25,12 @@ class SentenceWindowRetriever:
     SentenceWindowRetriever to get the surrounding documents for context.
 
     The SentenceWindowRetriever is compatible with the following DocumentStores:
-    - (Astra)[https://docs.haystack.deepset.ai/docs/astradocumentstore]
-    - (Elasticsearch)[https://docs.haystack.deepset.ai/docs/elasticsearch-document-store]
-    - (OpenSearch)[https://docs.haystack.deepset.ai/docs/opensearch-document-store]
-    - (Pgvector)[https://docs.haystack.deepset.ai/docs/pgvectordocumentstore]
-    - (Pinecone)[https://docs.haystack.deepset.ai/docs/pinecone-document-store]
-    - (Qdrant)[https://docs.haystack.deepset.ai/docs/qdrant-document-store]
+    - [Astra](https://docs.haystack.deepset.ai/docs/astradocumentstore)
+    - [Elasticsearch](https://docs.haystack.deepset.ai/docs/elasticsearch-document-store)
+    - [OpenSearch](https://docs.haystack.deepset.ai/docs/opensearch-document-store)
+    - [Pgvector](https://docs.haystack.deepset.ai/docs/pgvectordocumentstore)
+    - [Pinecone](https://docs.haystack.deepset.ai/docs/pinecone-document-store)
+    - [Qdrant](https://docs.haystack.deepset.ai/docs/qdrant-document-store)
 
     ### Usage example
 

haystack/components/routers/transformers_text_router.py

@@ -42,11 +42,11 @@ class TransformersTextRouter:
         name="text_router"
     )
     p.add_component(
-        instance=PromptBuilder(template="Answer the question: {{query}}\nAnswer:"),
+        instance=PromptBuilder(template="Answer the question: {{query}}\\nAnswer:"),
         name="english_prompt_builder"
     )
     p.add_component(
-        instance=PromptBuilder(template="Beantworte die Frage: {{query}}\nAntwort:"),
+        instance=PromptBuilder(template="Beantworte die Frage: {{query}}\\nAntwort:"),
         name="german_prompt_builder"
     )