diff --git a/docs/docs/guides/debugging.md b/docs/docs/guides/debugging.md
index 65528a5645..6fefa9fa5b 100644
--- a/docs/docs/guides/debugging.md
+++ b/docs/docs/guides/debugging.md
@@ -8,7 +8,7 @@ Here are a few different tools and functionalities to aid in debugging.
 
 ## Tracing
 
-Platforms with tracing capabilities like [LangSmith](/docs/guides/langsmith/) and [WandB](/docs/integrations/providers/wandb_tracing) are the most comprehensive solutions for debugging. These platforms make it easy to not only log and visualize LLM apps, but also to actively debug, test and refine them.
+Platforms with tracing capabilities like [LangSmith](/docs/langsmith/) and [WandB](/docs/integrations/providers/wandb_tracing) are the most comprehensive solutions for debugging. These platforms make it easy to not only log and visualize LLM apps, but also to actively debug, test and refine them.
 
 For anyone building production-grade LLM applications, we highly recommend using a platform like this.
 
diff --git a/docs/docs/langsmith/index.md b/docs/docs/langsmith/index.md
index 9e67a0fe84..6bd6132305 100644
--- a/docs/docs/langsmith/index.md
+++ b/docs/docs/langsmith/index.md
@@ -7,7 +7,7 @@ sidebar_class_name: hidden
 [LangSmith](https://smith.langchain.com) helps you trace and evaluate your language model applications and intelligent agents to help you
 move from prototype to production.
 
-Check out the [interactive walkthrough](/docs/guides/langsmith/walkthrough) to get started.
+Check out the [interactive walkthrough](/docs/langsmith/walkthrough) to get started.
 
 For more information, please refer to the [LangSmith documentation](https://docs.smith.langchain.com/).
 
diff --git a/docs/docs/langsmith/walkthrough.ipynb b/docs/docs/langsmith/walkthrough.ipynb
index afc17b6b29..cd55696ff8 100644
--- a/docs/docs/langsmith/walkthrough.ipynb
+++ b/docs/docs/langsmith/walkthrough.ipynb
@@ -8,7 +8,7 @@
    },
    "source": [
     "# LangSmith Walkthrough\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/langsmith/walkthrough.ipynb)\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/langsmith/walkthrough.ipynb)\n",
     "\n",
     "LangChain makes it easy to prototype LLM applications and Agents. However, delivering LLM applications to production can be deceptively difficult. You will likely have to heavily customize and iterate on your prompts, chains, and other components to create a high-quality product.\n",
     "\n",