Fix doc links

Author: sjrl

integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/chat/chat_generator.py

@@ -140,7 +140,7 @@ def weather(city: str):
     automatically from the environment or the AWS configuration file.
     If the AWS environment is not configured, set `aws_access_key_id`, `aws_secret_access_key`,
       and `aws_region_name` as environment variables or pass them as
-     [Secret](https://docs.haystack.deepset.ai/v2.0/docs/secret-management) arguments. Make sure the region you set
+     [Secret](https://docs.haystack.deepset.ai/docs/secret-management) arguments. Make sure the region you set
     supports Amazon Bedrock.
     """
 

integrations/amazon_bedrock/src/haystack_integrations/components/generators/amazon_bedrock/generator.py

@@ -58,7 +58,7 @@ class AmazonBedrockGenerator:
     automatically from the environment or the AWS configuration file.
     If the AWS environment is not configured, set `aws_access_key_id`, `aws_secret_access_key`,
     `aws_session_token`, and `aws_region_name` as environment variables or pass them as
-     [Secret](https://docs.haystack.deepset.ai/v2.0/docs/secret-management) arguments. Make sure the region you set
+     [Secret](https://docs.haystack.deepset.ai/docs/secret-management) arguments. Make sure the region you set
     supports Amazon Bedrock.
     """
 

integrations/amazon_bedrock/src/haystack_integrations/components/rankers/amazon_bedrock/ranker.py

@@ -52,7 +52,7 @@ class AmazonBedrockRanker:
     automatically from the environment or the AWS configuration file.
     If the AWS environment is not configured, set `aws_access_key_id`, `aws_secret_access_key`,
     and `aws_region_name` as environment variables or pass them as
-    [Secret](https://docs.haystack.deepset.ai/v2.0/docs/secret-management) arguments. Make sure the region you set
+    [Secret](https://docs.haystack.deepset.ai/docs/secret-management) arguments. Make sure the region you set
     supports Amazon Bedrock.
     """
 

integrations/chroma/src/haystack_integrations/document_stores/chroma/document_store.py

@@ -238,7 +238,7 @@ def filter_documents(self, filters: Optional[dict[str, Any]] = None) -> list[Doc
         Returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering).
+        refer to the [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering).
 
         :param filters: the filters to apply to the document list.
         :returns: a list of Documents that match the given filters.
@@ -258,7 +258,7 @@ async def filter_documents_async(self, filters: Optional[dict[str, Any]] = None)
         Asynchronous methods are only supported for HTTP connections.
 
         For a detailed specification of the filters,
-        refer to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering).
+        refer to the [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering).
 
         :param filters: the filters to apply to the document list.
         :returns: a list of Documents that match the given filters.

integrations/mistral/src/haystack_integrations/components/generators/mistral/chat/chat_generator.py

@@ -34,7 +34,7 @@ class MistralChatGenerator(OpenAIChatGenerator):
     This component uses the ChatMessage format for structuring both input and output,
     ensuring coherent and contextually relevant responses in chat-based text generation scenarios.
     Details on the ChatMessage format can be found in the
-    [Haystack docs](https://docs.haystack.deepset.ai/v2.0/docs/data-classes#chatmessage)
+    [Haystack docs](https://docs.haystack.deepset.ai/docs/data-classes#chatmessage)
 
     For more details on the parameters supported by the Mistral API, refer to the
     [Mistral API Docs](https://docs.mistral.ai/api/).

integrations/mongodb_atlas/src/haystack_integrations/document_stores/mongodb_atlas/document_store.py

@@ -283,7 +283,7 @@ def filter_documents(self, filters: Optional[dict[str, Any]] = None) -> list[Doc
         Returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the Haystack [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering).
+        refer to the Haystack [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering).
 
         :param filters: The filters to apply. It returns only the documents that match the filters.
         :returns: A list of Documents that match the given filters.
@@ -299,7 +299,7 @@ async def filter_documents_async(self, filters: Optional[dict[str, Any]] = None)
         Asynchronously returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the Haystack [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering).
+        refer to the Haystack [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering).
 
         :param filters: The filters to apply. It returns only the documents that match the filters.
         :returns: A list of Documents that match the given filters.

integrations/pgvector/src/haystack_integrations/document_stores/pgvector/document_store.py

@@ -762,7 +762,7 @@ def filter_documents(self, filters: Optional[dict[str, Any]] = None) -> list[Doc
         Returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering)
+        refer to the [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering)
 
         :param filters: The filters to apply to the document list.
         :raises TypeError: If `filters` is not a dictionary.
@@ -799,7 +799,7 @@ async def filter_documents_async(self, filters: Optional[dict[str, Any]] = None)
         Asynchronously returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering)
+        refer to the [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering)
 
         :param filters: The filters to apply to the document list.
 

integrations/pinecone/src/haystack_integrations/document_stores/pinecone/document_store.py

@@ -279,7 +279,7 @@ def filter_documents(self, filters: Optional[dict[str, Any]] = None) -> list[Doc
         Returns the documents that match the filters provided.
 
         For a detailed specification of the filters,
-        refer to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/metadata-filtering)
+        refer to the [documentation](https://docs.haystack.deepset.ai/docs/metadata-filtering)
 
         :param filters: The filters to apply to the document list.
         :returns: A list of Documents that match the given filters.