diff --git a/docs/docs_skeleton/docs/modules/data_connection/vectorstores/index.mdx b/docs/docs_skeleton/docs/modules/data_connection/vectorstores/index.mdx
index 6fcbe4ab27..3618605db6 100644
--- a/docs/docs_skeleton/docs/modules/data_connection/vectorstores/index.mdx
+++ b/docs/docs_skeleton/docs/modules/data_connection/vectorstores/index.mdx
@@ -10,7 +10,7 @@ for you.
 
 ## Get started
 
-This walkthrough showcases basic functionality related to VectorStores. A key part of working with vector stores is creating the vector to put in them, which is usually created via embeddings. Therefore, it is recommended that you familiarize yourself with the [text embedding model](/docs/modules/model_io/models/embeddings.html) interfaces before diving into this.
+This walkthrough showcases basic functionality related to VectorStores. A key part of working with vector stores is creating the vector to put in them, which is usually created via embeddings. Therefore, it is recommended that you familiarize yourself with the [text embedding model](/docs/modules/data_connection/text_embedding/) interfaces before diving into this.
 
 import GetStarted from "@snippets/modules/data_connection/vectorstores/get_started.mdx"
 
diff --git a/docs/extras/guides/evaluation/openapi_eval.ipynb b/docs/extras/guides/evaluation/openapi_eval.ipynb
index 90875bbefb..e28b76c474 100644
--- a/docs/extras/guides/evaluation/openapi_eval.ipynb
+++ b/docs/extras/guides/evaluation/openapi_eval.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Evaluating an OpenAPI Chain\n",
     "\n",
-    "This notebook goes over ways to semantically evaluate an [OpenAPI Chain](/docs/modules/chains/additiona/openapi.html), which calls an endpoint defined by the OpenAPI specification using purely natural language."
+    "This notebook goes over ways to semantically evaluate an [OpenAPI Chain](/docs/modules/chains/additional/openapi.html), which calls an endpoint defined by the OpenAPI specification using purely natural language."
    ]
   },
   {
diff --git a/docs/snippets/modules/data_connection/text_embedding/get_started.mdx b/docs/snippets/modules/data_connection/text_embedding/get_started.mdx
index 69a10f80ae..2c73304ad7 100644
--- a/docs/snippets/modules/data_connection/text_embedding/get_started.mdx
+++ b/docs/snippets/modules/data_connection/text_embedding/get_started.mdx
@@ -31,7 +31,7 @@ embeddings_model = OpenAIEmbeddings()
 #### Embed list of texts
 
 ```python
-embeddings = embedding_model.embed_documents(
+embeddings = embeddings_model.embed_documents(
     [
         "Hi there!",
         "Oh, hello!",
@@ -56,7 +56,7 @@ len(embeddings), len(embeddings[0])
 Embed a single piece of text for the purpose of comparing to other embedded pieces of texts.
 
 ```python
-embedded_query = embedding_model.embed_query("What was the name mentioned in the conversation?")
+embedded_query = embeddings_model.embed_query("What was the name mentioned in the conversation?")
 embedded_query[:5]
 ```
 
diff --git a/docs/snippets/modules/data_connection/vectorstores/get_started.mdx b/docs/snippets/modules/data_connection/vectorstores/get_started.mdx
index a1689cec21..58507f9322 100644
--- a/docs/snippets/modules/data_connection/vectorstores/get_started.mdx
+++ b/docs/snippets/modules/data_connection/vectorstores/get_started.mdx
@@ -26,7 +26,8 @@ raw_documents = TextLoader('../../../state_of_the_union.txt').load()
 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
 documents = text_splitter.split_documents(raw_documents)
 
-db = FAISS.from_documents(documents, OpenAIEmbeddings())
+embeddings = OpenAIEmbeddings()
+db = FAISS.from_documents(documents, embeddings)
 ```
 
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