{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ApdaLD4Qi30H"
   },
   "source": [
    "# Neo4j as Graph Memory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "l7bi3i21i30I"
   },
   "source": [
    "## Prerequisites\n",
    "\n",
    "### 1. Install Mem0 with Graph Memory support\n",
    "\n",
    "To use Mem0 with Graph Memory support, install it using pip:\n",
    "\n",
    "```bash\n",
    "pip install \"mem0ai[graph]\"\n",
    "```\n",
    "\n",
    "This command installs Mem0 along with the necessary dependencies for graph functionality.\n",
    "\n",
    "### 2. Install Neo4j\n",
    "\n",
    "To utilize Neo4j as Graph Memory, run it with Docker:\n",
    "\n",
    "```bash\n",
    "docker run \\\n",
    "  -p 7474:7474 -p 7687:7687 \\\n",
    "  -e NEO4J_AUTH=neo4j/password \\\n",
    "  neo4j:5\n",
    "```\n",
    "\n",
    "This command starts Neo4j with default credentials (`neo4j` / `password`) and exposes both the HTTP (7474) and Bolt (7687) ports.\n",
    "\n",
    "You can access the Neo4j browser at [http://localhost:7474](http://localhost:7474).\n",
    "\n",
    "Additional information can be found in the [Neo4j documentation](https://neo4j.com/docs/).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DkeBdFEpi30I"
   },
   "source": [
    "## Configuration\n",
    "\n",
    "Do all the imports and configure OpenAI (enter your OpenAI API key):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "d99EfBpii30I"
   },
   "outputs": [],
   "source": [
    "from mem0 import Memory\n",
    "\n",
    "import os\n",
    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = \"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QTucZJjIi30J"
   },
   "source": [
    "Set up configuration to use the embedder model and Neo4j as a graph store:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "QSE0RFoSi30J"
   },
   "outputs": [],
   "source": [
    "config = {\n",
    "    \"embedder\": {\n",
    "        \"provider\": \"openai\",\n",
    "        \"config\": {\"model\": \"text-embedding-3-large\", \"embedding_dims\": 1536},\n",
    "    },\n",
    "    \"graph_store\": {\n",
    "        \"provider\": \"neo4j\",\n",
    "        \"config\": {\n",
    "            \"url\": \"bolt://54.87.227.131:7687\",\n",
    "            \"username\": \"neo4j\",\n",
    "            \"password\": \"causes-bins-vines\",\n",
    "        },\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OioTnv6xi30J"
   },
   "source": [
    "## Graph Memory initializiation\n",
    "\n",
    "Initialize Neo4j as a Graph Memory store:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "fX-H9vgNi30J"
   },
   "outputs": [],
   "source": [
    "m = Memory.from_config(config_dict=config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kr1fVMwEi30J"
   },
   "source": [
    "## Store memories\n",
    "\n",
    "Create memories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "sEfogqp_i30J"
   },
   "outputs": [],
   "source": [
    "messages = [\n",
    "    {\n",
    "        \"role\": \"user\",\n",
    "        \"content\": \"I'm planning to watch a movie tonight. Any recommendations?\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"assistant\",\n",
    "        \"content\": \"How about a thriller movies? They can be quite engaging.\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"user\",\n",
    "        \"content\": \"I'm not a big fan of thriller movies but I love sci-fi movies.\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"assistant\",\n",
    "        \"content\": \"Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future.\",\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gtBHCyIgi30J"
   },
   "source": [
    "Store memories in Neo4j:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "BMVGgZMFi30K"
   },
   "outputs": [],
   "source": [
    "# Store inferred memories (default behavior)\n",
    "result = m.add(messages, user_id=\"alice\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lQRptOywi30K"
   },
   "source": [
    "![](https://github.com/tomasonjo/mem0/blob/neo4jexample/examples/graph-db-demo/alice-memories.png?raw=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LBXW7Gv-i30K"
   },
   "source": [
    "## Search memories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UHFDeQBEi30K",
    "outputId": "2c69de7d-a79a-48f6-e3c4-bd743067857c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loves sci-fi movies 0.3153664287340898\n",
      "Planning to watch a movie tonight 0.09683349296551162\n",
      "Not a big fan of thriller movies 0.09468540071789466\n"
     ]
    }
   ],
   "source": [
    "for result in m.search(\"what does alice love?\", user_id=\"alice\")[\"results\"]:\n",
    "    print(result[\"memory\"], result[\"score\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "2jXEIma9kK_Q"
   },
   "outputs": [],
   "source": []
  }
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