diff --git a/docs/use_cases/apis.md b/docs/use_cases/apis.md
index cd459828..19fa7efc 100644
--- a/docs/use_cases/apis.md
+++ b/docs/use_cases/apis.md
@@ -1,7 +1,6 @@
 # Interacting with APIs
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/apis>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/apis)
 
 
 Lots of data and information is stored behind APIs.
diff --git a/docs/use_cases/chatbots.md b/docs/use_cases/chatbots.md
index 2a735103..c9b77d48 100644
--- a/docs/use_cases/chatbots.md
+++ b/docs/use_cases/chatbots.md
@@ -1,7 +1,6 @@
 # Chatbots
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/chatbots>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/chatbots)
 
 
 Since language models are good at producing text, that makes them ideal for creating chatbots.
diff --git a/docs/use_cases/extraction.md b/docs/use_cases/extraction.md
index aa252201..3bbc060f 100644
--- a/docs/use_cases/extraction.md
+++ b/docs/use_cases/extraction.md
@@ -1,7 +1,6 @@
 # Extraction
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/extraction>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/extraction)
 
 
 Most APIs and databases still deal with structured information.
diff --git a/docs/use_cases/personal_assistants.md b/docs/use_cases/personal_assistants.md
index 7e9b2c80..60235031 100644
--- a/docs/use_cases/personal_assistants.md
+++ b/docs/use_cases/personal_assistants.md
@@ -1,7 +1,6 @@
 # Personal Assistants
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/personal-assistants>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/personal-assistants)
 
 
 We use "personal assistant" here in a very broad sense.
diff --git a/docs/use_cases/question_answering.md b/docs/use_cases/question_answering.md
index 56c62665..931ba5a2 100644
--- a/docs/use_cases/question_answering.md
+++ b/docs/use_cases/question_answering.md
@@ -1,7 +1,6 @@
 # Question Answering over Docs
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-docs>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-docs)
 
 
 Question answering in this context refers to question answering over your document data. 
diff --git a/docs/use_cases/summarization.md b/docs/use_cases/summarization.md
index 2eed59e9..1147ba37 100644
--- a/docs/use_cases/summarization.md
+++ b/docs/use_cases/summarization.md
@@ -1,7 +1,6 @@
 # Summarization
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/summarization>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/summarization)
 
 
 Summarization involves creating a smaller summary of multiple longer documents.
diff --git a/docs/use_cases/tabular.md b/docs/use_cases/tabular.md
index 7ccf5ac5..1b06a5fd 100644
--- a/docs/use_cases/tabular.md
+++ b/docs/use_cases/tabular.md
@@ -1,7 +1,6 @@
 # Querying Tabular Data
 
-.. note::
-   `Conceptual Guide <https://docs.langchain.com/docs/use-cases/qa-tabular>`_
+> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/qa-tabular)
 
 
 Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables.