diff --git a/examples/pg_vectorstore.ipynb b/examples/pg_vectorstore.ipynb
index 317a988..340abe1 100644
--- a/examples/pg_vectorstore.ipynb
+++ b/examples/pg_vectorstore.ipynb
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "tags": []
    },
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {
     "tags": []
    },
@@ -143,8 +143,8 @@
     "    await pg_engine.ainit_vectorstore_table(\n",
     "        table_name=TABLE_NAME,\n",
     "        vector_size=VECTOR_SIZE,\n",
-    "        id_column=Column(name=\"id\", data_type=\"INTEGER\", nullable=False),\n",
     "        metadata_columns=[\n",
+    "            Column(\"likes\", \"INTEGER\"),\n",
     "            Column(\"location\", \"TEXT\"),\n",
     "            Column(\"topic\", \"TEXT\"),\n",
     "        ],\n",
@@ -178,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -226,7 +226,6 @@
     "    engine=pg_engine,\n",
     "    table_name=TABLE_NAME,\n",
     "    embedding_service=embedding,\n",
-    "    id_column=\"id\",\n",
     "    metadata_columns=[\"location\", \"topic\"]\n",
     ")"
    ]
@@ -260,22 +259,22 @@
     "    Document(\n",
     "        id=uuid.uuid4(),\n",
     "        page_content=\"there are cats in the pond\",\n",
-    "        metadata={\"id\": 1, \"location\": \"pond\", \"topic\": \"animals\"},\n",
+    "        metadata={\"likes\": 1, \"location\": \"pond\", \"topic\": \"animals\"},\n",
     "    ),\n",
     "    Document(\n",
     "        id=uuid.uuid4(),\n",
     "        page_content=\"ducks are also found in the pond\",\n",
-    "        metadata={\"id\": 2, \"location\": \"pond\", \"topic\": \"animals\"},\n",
+    "        metadata={\"likes\": 30, \"location\": \"pond\", \"topic\": \"animals\"},\n",
     "    ),\n",
     "    Document(\n",
     "        id=uuid.uuid4(),\n",
     "        page_content=\"fresh apples are available at the market\",\n",
-    "        metadata={\"id\": 3, \"location\": \"market\", \"topic\": \"food\"},\n",
+    "        metadata={\"likes\": 20, \"location\": \"market\", \"topic\": \"food\"},\n",
     "    ),\n",
     "    Document(\n",
     "        id=uuid.uuid4(),\n",
     "        page_content=\"the market also sells fresh oranges\",\n",
-    "        metadata={\"id\": 4, \"location\": \"market\", \"topic\": \"food\"},\n",
+    "        metadata={\"likes\": 5, \"location\": \"market\", \"topic\": \"food\"},\n",
     "    ),\n",
     "]\n",
     "\n",
@@ -295,7 +294,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# We'll use the ID of the first doc to delete it\n",
@@ -315,7 +316,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "query = \"I'd like a fruit.\"\n",
@@ -334,7 +337,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "query_vector = embedding.embed_query(query)\n",
@@ -359,20 +364,20 @@
     "\n",
     "| Operator  | Meaning/Category        |\n",
     "|-----------|-------------------------|\n",
-    "| $eq       | Equality (==)           |\n",
-    "| $ne       | Inequality (!=)         |\n",
-    "| $lt       | Less than (<)           |\n",
-    "| $lte      | Less than or equal (<=) |\n",
-    "| $gt       | Greater than (>)        |\n",
-    "| $gte      | Greater than or equal (>=) |\n",
-    "| $in       | Special Cased (in)      |\n",
-    "| $nin      | Special Cased (not in)  |\n",
-    "| $between  | Special Cased (between) |\n",
-    "| $exists   | Special Cased (is null) |\n",
-    "| $like     | Text (like)             |\n",
-    "| $ilike    | Text (case-insensitive like) |\n",
-    "| $and      | Logical (and)           |\n",
-    "| $or       | Logical (or)            |"
+    "| \\$eq       | Equality (==)           |\n",
+    "| \\$ne       | Inequality (!=)         |\n",
+    "| \\$lt       | Less than (<)           |\n",
+    "| \\$lte      | Less than or equal (<=) |\n",
+    "| \\$gt       | Greater than (>)        |\n",
+    "| \\$gte      | Greater than or equal (>=) |\n",
+    "| \\$in       | Special Cased (in)      |\n",
+    "| \\$nin      | Special Cased (not in)  |\n",
+    "| \\$between  | Special Cased (between) |\n",
+    "| \\$exists   | Special Cased (is null) |\n",
+    "| \\$like     | Text (like)             |\n",
+    "| \\$ilike    | Text (case-insensitive like) |\n",
+    "| \\$and      | Logical (and)           |\n",
+    "| \\$or       | Logical (or)            |\n"
    ]
   },
   {
@@ -383,10 +388,40 @@
    },
    "outputs": [],
    "source": [
-    "query = \"meow\"\n",
-    "docs = await vectorstore.asimilarity_search(query, filter={\"topic\": \"food\"})\n",
-    "for doc in docs:\n",
-    "    print(repr(doc))"
+    "await vectorstore.asimilarity_search(\"birds\", filter={\"$or\": [{\"topic\": \"animals\"}, {\"location\": \"market\"}]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "await vectorstore.asimilarity_search(\"apple\", filter={\"topic\": \"food\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "await vectorstore.asimilarity_search(\"apple\", filter={\"topic\": {\"$in\": [\"food\", \"animals\"]}})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "await vectorstore.asimilarity_search(\"sales of fruit\", filter={\"topic\": {\"$ne\": \"animals\"}})"
    ]
   },
   {
@@ -408,7 +443,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from langchain_postgres.v2.indexes import IVFFlatIndex\n",
@@ -429,7 +466,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "await vectorstore.areindex()  # Re-index using default index name"
@@ -447,7 +486,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "await vectorstore.adrop_vector_index()  # Drop index using default name"