Update coherence.ipynb

docs/docs/integrations/vectorstores/coherence.ipynb

@@ -1,8 +1,8 @@
 {
  "cells": [
   {
-   "cell_type": "markdown",
-   "id": "c92e2cb6-d75b-4321-bf73-69b07d244aa7",
+   "cell_type": "raw",
+   "id": "a33fe9a9-1e91-4e74-af40-e20e197c1294",
    "metadata": {},
    "source": [
     "# Coherence\n",
@@ -13,8 +13,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "77db1e62-622e-46c1-8f1d-4f32a42f22da",
+   "cell_type": "raw",
+   "id": "f83deacd-0838-4753-8e52-5137d9996ff6",
    "metadata": {},
    "source": [
     "## Setup\n",
@@ -27,8 +27,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "a266cffc-0407-4fd3-b905-f42b0770125c",
+   "cell_type": "raw",
+   "id": "e334767c-0770-4eab-ba05-0b0fa6034040",
    "metadata": {},
    "source": [
     "## Usage\n",
@@ -36,7 +36,7 @@
     "Before using LangChain's CoherenceVectorStore you must ensure that a Coherence server ([Coherence CE](https://github.com/oracle/coherence) 25.03+ or [Oracle Coherence](https://www.oracle.com/java/coherence/) 14.1.2+) is running \n",
     "\n",
     "For local development, we recommend using the Coherence CE container image:\n",
-    "```aiignore\n",
+    "```\n",
     "docker run -d -p 1408:1408 ghcr.io/oracle/coherence-ce:25.03.2\n",
     "```\n",
     "\n",
@@ -44,9 +44,11 @@
    ]
   },
   {
-   "cell_type": "raw",
-   "id": "1e432d99-4750-48b6-a5f9-e8680f9832e9",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d52c0187-f5c4-4c69-9052-0b8998945680",
    "metadata": {},
+   "outputs": [],
    "source": [
     "from langchain_core.documents import Document\n",
     "from langchain_core.embeddings import Embeddings\n",
@@ -87,9 +89,11 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "97e0d922-7208-46be-bade-71f56ce8c586",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11328dac-633e-4155-8f19-95ef2bfa3d06",
    "metadata": {},
+   "outputs": [],
    "source": [
     "from langchain_core.documents import Document\n",
     "from langchain_core.embeddings import Embeddings\n",
@@ -187,9 +191,11 @@
    ]
   },
   {
-   "cell_type": "raw",
-   "id": "9713d8bc-db9d-46e7-9fec-2613c2635ad7",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dbb07be8-b13e-4bd5-a9ea-94603ff2a6e4",
    "metadata": {},
+   "outputs": [],
    "source": [
     "from langchain_core.documents import Document\n",
     "from langchain_core.embeddings import Embeddings\n",