fix: various typos (#32231)

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",
-    "<a> https://python.langchain.com/v0.2/docs/integrations/text_embedding/open_clip/ </a>"
-   ]
+   "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<a> https://python.langchain.com/v0.2/docs/integrations/text_embedding/open_clip/ </a>"
   },
   {
    "cell_type": "markdown",

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",

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",

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",