diff --git a/cookbook/img-to_img-search_CLIP_ChromaDB.ipynb b/cookbook/img-to_img-search_CLIP_ChromaDB.ipynb
index df25d68696e..3f08bad2a54 100644
--- a/cookbook/img-to_img-search_CLIP_ChromaDB.ipynb
+++ b/cookbook/img-to_img-search_CLIP_ChromaDB.ipynb
@@ -20,11 +20,7 @@
"cell_type": "markdown",
"id": "5939a54c-3198-4ba4-8346-1cc088c473c0",
"metadata": {},
- "source": [
- "##### You can embed text in the same VectorDB space as images, and retreive text and images as well based on input text or image.\n",
- "##### Following link demonstrates that.\n",
- " https://python.langchain.com/v0.2/docs/integrations/text_embedding/open_clip/ "
- ]
+ "source": "##### You can embed text in the same VectorDB space as images, and retrieve text and images as well based on input text or image.\n##### Following link demonstrates that.\n https://python.langchain.com/v0.2/docs/integrations/text_embedding/open_clip/ "
},
{
"cell_type": "markdown",
@@ -600,4 +596,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/cookbook/rag-locally-on-intel-cpu.ipynb b/cookbook/rag-locally-on-intel-cpu.ipynb
index fc059114133..68daa714ee2 100644
--- a/cookbook/rag-locally-on-intel-cpu.ipynb
+++ b/cookbook/rag-locally-on-intel-cpu.ipynb
@@ -552,9 +552,7 @@
"cell_type": "markdown",
"id": "77deb6a0-0950-450a-916a-f2a029676c20",
"metadata": {},
- "source": [
- "**Appending all retreived documents in a single document**"
- ]
+ "source": "**Appending all retrieved documents in a single document**"
},
{
"cell_type": "code",
@@ -758,4 +756,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb b/docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb
index c4b6329d53e..0abf91902ee 100644
--- a/docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb
+++ b/docs/docs/integrations/retrievers/elasticsearch_retriever.ipynb
@@ -265,13 +265,7 @@
"cell_type": "markdown",
"id": "08437fa2",
"metadata": {},
- "source": [
- "## Instantiation\n",
- "\n",
- "### Vector search\n",
- "\n",
- "Dense vector retrival using fake embeddings in this example."
- ]
+ "source": "## Instantiation\n\n### Vector search\n\nDense vector retrieval using fake embeddings in this example."
},
{
"cell_type": "code",
@@ -713,4 +707,4 @@
},
"nbformat": 4,
"nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/docs/docs/integrations/vectorstores/timescalevector.ipynb b/docs/docs/integrations/vectorstores/timescalevector.ipynb
index a347da6bea4..f73367108d7 100644
--- a/docs/docs/integrations/vectorstores/timescalevector.ipynb
+++ b/docs/docs/integrations/vectorstores/timescalevector.ipynb
@@ -447,11 +447,7 @@
"attachments": {},
"cell_type": "markdown",
"metadata": {},
- "source": [
- "We'll define a helper funciton to create a uuid for a document and associated vector embedding based on its timestamp. We'll use this function to create a uuid for each git log entry.\n",
- "\n",
- "Important note: If you are working with documents and want the current date and time associated with vector for time-based search, you can skip this step. A uuid will be automatically generated when the documents are ingested by default."
- ]
+ "source": "We'll define a helper function to create a uuid for a document and associated vector embedding based on its timestamp. We'll use this function to create a uuid for each git log entry.\n\nImportant note: If you are working with documents and want the current date and time associated with vector for time-based search, you can skip this step. A uuid will be automatically generated when the documents are ingested by default."
},
{
"cell_type": "code",
@@ -1729,4 +1725,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
-}
+}
\ No newline at end of file