diff --git a/docs/docs/concepts/example_selectors.mdx b/docs/docs/concepts/example_selectors.mdx
index 97cfdc83d57..c34cf6d6735 100644
--- a/docs/docs/concepts/example_selectors.mdx
+++ b/docs/docs/concepts/example_selectors.mdx
@@ -8,7 +8,7 @@
 
 ## Overview
 
-One common prompting technique for achieving better performance is to include examples as part of the prompt. This is known as [few-shot prompting](/docs/concepts/few-shot-prompting).
+One common prompting technique for achieving better performance is to include examples as part of the prompt. This is known as [few-shot prompting](/docs/concepts/few_shot_prompting).
 
 This gives the [language model](/docs/concepts/chat_models/) concrete examples of how it should behave.
 Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.
diff --git a/docs/docs/concepts/index.mdx b/docs/docs/concepts/index.mdx
index 20a2f2abc66..6b143ef4147 100644
--- a/docs/docs/concepts/index.mdx
+++ b/docs/docs/concepts/index.mdx
@@ -41,7 +41,7 @@ The conceptual guide will not cover step-by-step instructions or specific implem
 - **[Output Parsers](/docs/concepts/output_parsers)**: Output parsers are responsible for taking the output of a model and transforming it into a more suitable format for downstream tasks. Output parsers were primarily useful prior to the general availability of [chat models](/docs/concepts/chat_models) that natively support [tool calling](/docs/concepts/tool_calling) and [structured outputs](/docs/concepts/structured_outputs).
 - **[Few shot prompting](/docs/concepts/few_shot_prompting)**: Few-shot prompting is a technique used improve the performance of language models by providing them with a few examples of the task they are expected to perform.
 - **[Example Selectors](/docs/concepts/example_selectors)**: Example selectors are used to select examples from a dataset based on a given input. They can be used to select examples randomly, by semantic similarity, or based on some other constraints. Example selectors are used in few-shot prompting to select examples for a prompt.
- 
+
 ## Glossary
 
 - **[AIMessageChunk](/docs/concepts/messages#aimessagechunk)**: A partial response from an AI message. Used when streaming responses from a chat model.