docs: added vector store initialization from documents (#196)

* feat: added vector store initialization from documents

* nit: fix pr comments

* chore: pr comments

* chore: fix PR comments

* chore: pr comments

---------

Co-authored-by: Averi Kitsch <akitsch@google.com>

docs/vector_store.ipynb

@@ -349,6 +349,49 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Initialize Vector Store with documents\n",
+    "\n",
+    "This is a great way to get started quickly. However, the default method is recommended for most applications to avoid accidentally adding duplicate documents."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.documents import Document\n",
+    "import uuid\n",
+    "\n",
+    "docs = [\n",
+    "    Document(\n",
+    "        page_content=\"Red Apple\",\n",
+    "        metadata={\"description\": \"red\", \"content\": \"1\", \"category\": \"fruit\"},\n",
+    "    ),\n",
+    "    Document(\n",
+    "        page_content=\"Banana Cavendish\",\n",
+    "        metadata={\"description\": \"yellow\", \"content\": \"2\", \"category\": \"fruit\"},\n",
+    "    ),\n",
+    "    Document(\n",
+    "        page_content=\"Orange Navel\",\n",
+    "        metadata={\"description\": \"orange\", \"content\": \"3\", \"category\": \"fruit\"},\n",
+    "    ),\n",
+    "]\n",
+    "ids = [str(uuid.uuid4()) for i in range(len(docs))]\n",
+    "\n",
+    "store_with_documents = await AlloyDBVectorStore.afrom_documents(\n",
+    "    documents=docs,\n",
+    "    ids=ids,\n",
+    "    engine=engine,\n",
+    "    table_name=TABLE_NAME,\n",
+    "    embedding_service=embedding,\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -553,7 +596,7 @@
     "all_texts = [\"Apples and oranges\", \"Cars and airplanes\", \"Pineapple\", \"Train\", \"Banana\"]\n",
     "metadatas = [{\"len\": len(t)} for t in all_texts]\n",
     "ids = [str(uuid.uuid4()) for _ in all_texts]\n",
-    "await store.aadd_texts(all_texts, metadatas=metadatas, ids=ids)\n",
+    "await custom_store.aadd_texts(all_texts, metadatas=metadatas, ids=ids)\n",
     "\n",
     "# Use filter on search\n",
     "docs = await custom_store.asimilarity_search(query, filter=\"len >= 6\")\n",