diff --git a/docs/docs/integrations/llms/databricks.ipynb b/docs/docs/integrations/llms/databricks.ipynb
index d9dced4254..0773eff8d2 100644
--- a/docs/docs/integrations/llms/databricks.ipynb
+++ b/docs/docs/integrations/llms/databricks.ipynb
@@ -3,15 +3,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "5147e458-3b83-449e-9c2f-e7e1972e43fc",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "# Databricks\n",
     "\n",
@@ -145,15 +137,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "94f6540e-40cd-4d9b-95d3-33d36f061dcc",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Wrapping a serving endpoint: Custom model\n",
     "\n",
@@ -173,18 +157,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "7496dc7a-8a1a-4ce6-9648-4f69ed25275b",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -211,18 +184,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "0c86d952-4236-4a5e-bdac-cf4e3ccf3a16",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -242,18 +204,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "5f2507a2-addd-431d-9da5-dc2ae33783f6",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -288,18 +239,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "9b54f8ce-ffe5-4c47-a3f0-b4ebde524a6a",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -323,18 +263,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "50f172f5-ea1f-4ceb-8cf1-20289848de7b",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -370,13 +299,6 @@
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "8ea49319-a041-494d-afcd-87bcf00d5efb",
-     "showTitle": false,
-     "title": ""
-    }
    },
    "source": [
     "## Wrapping a cluster driver proxy app\n",
@@ -448,18 +370,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "e3330a01-e738-4170-a176-9954aff56442",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -483,18 +394,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "39c121cf-0e44-4e31-91db-37fcac459677",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -519,18 +419,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "3d3de599-82fd-45e4-8d8b-bacfc49dc9ce",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -554,18 +443,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {
-      "byteLimit": 2048000,
-      "rowLimit": 10000
-     },
-     "inputWidgets": {},
-     "nuid": "853fae8e-8df4-41e6-9d45-7769f883fe80",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -607,15 +485,6 @@
   }
  ],
  "metadata": {
-  "application/vnd.databricks.v1+notebook": {
-   "dashboards": [],
-   "language": "python",
-   "notebookMetadata": {
-    "pythonIndentUnit": 2
-   },
-   "notebookName": "databricks",
-   "widgets": {}
-  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
diff --git a/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb b/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb
index 52a53c758a..4ac079b4af 100644
--- a/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb
+++ b/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb
@@ -2,15 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "5a8c5767-adfe-4b9d-a665-a898756d7a6c",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "# Databricks Vector Search\n",
     "\n",
@@ -21,15 +13,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "746cfacd-fb30-48fd-96a5-bbcc0d15ae49",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "Install `databricks-vectorsearch` and related Python packages used in this notebook."
    ]
@@ -37,15 +21,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "9258a3e7-e050-4390-9d3f-9adff1460dab",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!pip install langchain-core databricks-vectorsearch openai tiktoken"
@@ -53,15 +29,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "f4f09d6d-002d-4cb0-a664-0a83bd2a13da",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "Use `OpenAIEmbeddings` for the embeddings."
    ]
@@ -69,15 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "f11b902d-a772-45e0-bbd9-526218b717cc",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import getpass\n",
@@ -88,15 +48,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "59b568f3-8db2-427e-9a4a-1df6fa7a1739",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "Split documents and get embeddings."
    ]
@@ -104,15 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "b28e1c7b-eae4-4be8-abbd-8433c7557dc2",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from langchain.document_loaders import TextLoader\n",
@@ -130,15 +74,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "e8fcdda1-208a-45c9-816e-ff0d2c8f59d6",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Setup Databricks Vector Search client"
    ]
@@ -146,15 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "9b87fff1-99e5-4d9f-aba3-d21a7ccc498e",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from databricks.vector_search.client import VectorSearchClient\n",
@@ -181,15 +109,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "81090f87-3efd-4c1e-9f58-8d6adba7553d",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Create Direct Vector Access Index\n",
     "Direct Vector Access Index supports direct read and write of embedding vectors and metadata through a REST API or an SDK. For this index, you manage embedding vectors and index updates yourself."
@@ -198,15 +118,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "9389ec6b-5885-411f-a26e-1a4b03651f5c",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "vector_search_endpoint_name = \"vector_search_demo_endpoint\"\n",
@@ -232,15 +144,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "047a14c9-2f06-4f74-883d-815b2c69786c",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from langchain.vectorstores import DatabricksVectorSearch\n",
@@ -252,15 +156,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "951bd581-2ced-497f-9c70-4fda902fd3a1",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Add docs to the index"
    ]
@@ -268,15 +164,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "1e85f235-901f-4cf5-845f-5dbf4ce42078",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dvs.add_documents(docs)"
@@ -284,15 +172,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "8bea6f0a-b305-455a-acba-99cc8c9350b5",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Similarity search"
    ]
@@ -300,15 +180,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "25c5a044-a61a-4929-9e65-a0f0462925df",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "query = \"What did the president say about Ketanji Brown Jackson\"\n",
@@ -318,15 +190,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "46e3f41b-dac2-4bed-91cb-a3914c25d275",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "source": [
     "## Work with Delta Sync Index\n",
     "\n",
@@ -336,15 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "application/vnd.databricks.v1+cell": {
-     "cellMetadata": {},
-     "inputWidgets": {},
-     "nuid": "0c1f448e-77ca-41ce-887c-15948e866a0e",
-     "showTitle": false,
-     "title": ""
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "dvs_delta_sync = DatabricksVectorSearch(\"catalog_name.schema_name.delta_sync_index\")\n",
@@ -353,15 +209,6 @@
   }
  ],
  "metadata": {
-  "application/vnd.databricks.v1+notebook": {
-   "dashboards": [],
-   "language": "python",
-   "notebookMetadata": {
-    "pythonIndentUnit": 2
-   },
-   "notebookName": "databricks_vector_search",
-   "widgets": {}
-  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",