diff --git a/docs/docs/how_to/functions.ipynb b/docs/docs/how_to/functions.ipynb
index c5b781f2edb..9a37eda942f 100644
--- a/docs/docs/how_to/functions.ipynb
+++ b/docs/docs/how_to/functions.ipynb
@@ -121,7 +121,7 @@
    "source": [
     "## The convenience `@chain` decorator\n",
     "\n",
-    "You can also turn an arbitrary function into a chain by adding a `@chain` decorator. This is functionaly equivalent to wrapping the function in a `RunnableLambda` constructor as shown above. Here's an example:"
+    "You can also turn an arbitrary function into a chain by adding a `@chain` decorator. This is functionally equivalent to wrapping the function in a `RunnableLambda` constructor as shown above. Here's an example:"
    ]
   },
   {
diff --git a/docs/docs/how_to/passthrough.ipynb b/docs/docs/how_to/passthrough.ipynb
index ab4c22d0647..9a0ea5afb70 100644
--- a/docs/docs/how_to/passthrough.ipynb
+++ b/docs/docs/how_to/passthrough.ipynb
@@ -29,7 +29,7 @@
     ":::\n",
     "\n",
     "\n",
-    "When composing chains with several steps, sometimes you will want to pass data from previous steps unchanged for use as input to a later step. The [`RunnablePassthrough`](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.passthrough.RunnablePassthrough.html) class allows you to do just this, and is typically is used in conjuction with a [RunnableParallel](/docs/how_to/parallel/) to pass data through to a later step in your constructed chains.\n",
+    "When composing chains with several steps, sometimes you will want to pass data from previous steps unchanged for use as input to a later step. The [`RunnablePassthrough`](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.passthrough.RunnablePassthrough.html) class allows you to do just this, and is typically is used in conjunction with a [RunnableParallel](/docs/how_to/parallel/) to pass data through to a later step in your constructed chains.\n",
     "\n",
     "See the example below:"
    ]