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    "# Zep Memory\n",
    "\n",
    "## Retriever Example\n",
    "\n",
    "This notebook demonstrates how to search historical chat message histories using the [Zep Long-term Memory Store](https://getzep.github.io/).\n",
    "\n",
    "We'll demonstrate:\n",
    "\n",
    "1. Adding conversation history to the Zep memory store.\n",
    "2. Vector search over the conversation history.\n",
    "\n",
    "More on Zep:\n",
    "\n",
    "Zep stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.\n",
    "\n",
    "Key Features:\n",
    "\n",
    "- Long-term memory persistence, with access to historical messages irrespective of your summarization strategy.\n",
    "- Auto-summarization of memory messages based on a configurable message window. A series of summaries are stored, providing flexibility for future summarization strategies.\n",
    "- Vector search over memories, with messages automatically embedded on creation.\n",
    "- Auto-token counting of memories and summaries, allowing finer-grained control over prompt assembly.\n",
    "- Python and JavaScript SDKs.\n",
    "\n",
    "Zep's Go Extractor model is easily extensible, with a simple, clean interface available to build new enrichment functionality, such as summarizers, entity extractors, embedders, and more.\n",
    "\n",
    "Zep project: [https://github.com/getzep/zep](https://github.com/getzep/zep)\n"
   ],
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   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "from langchain.memory.chat_message_histories import ZepChatMessageHistory\n",
    "from langchain.schema import HumanMessage, AIMessage\n",
    "from uuid import uuid4\n",
    "\n",
    "# Set this to your Zep server URL\n",
    "ZEP_API_URL = \"http://localhost:8000\"\n",
    "\n",
    "# Zep is async-first. Our sync APIs use an asyncio wrapper to run outside an app's event loop.\n",
    "# This interferes with Jupyter's event loop, so we need to install nest_asyncio to run the\n",
    "# Zep client in a notebook.\n",
    "\n",
    "# !pip install nest_asyncio  # Uncomment to install nest_asyncio\n",
    "import nest_asyncio\n",
    "\n",
    "nest_asyncio.apply()"
   ],
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   "source": [
    "### Initialize the Zep Chat Message History Class and add a chat message history to the memory store\n",
    "\n",
    "**NOTE:** Unlike other Retrievers, the content returned by the Zep Retriever is session/user specific. A `session_id` is required when instantiating the Retriever."
   ],
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   "source": [
    "session_id = str(uuid4())  # This is a unique identifier for the user/session\n",
    "\n",
    "# Set up Zep Chat History. We'll use this to add chat histories to the memory store\n",
    "zep_chat_history = ZepChatMessageHistory(\n",
    "    session_id=session_id,\n",
    "    url=ZEP_API_URL,\n",
    ")"
   ],
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   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "# Preload some messages into the memory. The default message window is 12 messages. We want to push beyond this to demonstrate auto-summarization.\n",
    "test_history = [\n",
    "    {\"role\": \"human\", \"content\": \"Who was Octavia Butler?\"},\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": (\n",
    "            \"Octavia Estelle Butler (June 22, 1947 – February 24, 2006) was an American\"\n",
    "            \" science fiction author.\"\n",
    "        ),\n",
    "    },\n",
    "    {\"role\": \"human\", \"content\": \"Which books of hers were made into movies?\"},\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": (\n",
    "            \"The most well-known adaptation of Octavia Butler's work is the FX series\"\n",
    "            \" Kindred, based on her novel of the same name.\"\n",
    "        ),\n",
    "    },\n",
    "    {\"role\": \"human\", \"content\": \"Who were her contemporaries?\"},\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": (\n",
    "            \"Octavia Butler's contemporaries included Ursula K. Le Guin, Samuel R.\"\n",
    "            \" Delany, and Joanna Russ.\"\n",
    "        ),\n",
    "    },\n",
    "    {\"role\": \"human\", \"content\": \"What awards did she win?\"},\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": (\n",
    "            \"Octavia Butler won the Hugo Award, the Nebula Award, and the MacArthur\"\n",
    "            \" Fellowship.\"\n",
    "        ),\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"human\",\n",
    "        \"content\": \"Which other women sci-fi writers might I want to read?\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": \"You might want to read Ursula K. Le Guin or Joanna Russ.\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"human\",\n",
    "        \"content\": (\n",
    "            \"Write a short synopsis of Butler's book, Parable of the Sower. What is it\"\n",
    "            \" about?\"\n",
    "        ),\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"ai\",\n",
    "        \"content\": (\n",
    "            \"Parable of the Sower is a science fiction novel by Octavia Butler,\"\n",
    "            \" published in 1993. It follows the story of Lauren Olamina, a young woman\"\n",
    "            \" living in a dystopian future where society has collapsed due to\"\n",
    "            \" environmental disasters, poverty, and violence.\"\n",
    "        ),\n",
    "    },\n",
    "]\n",
    "\n",
    "for msg in test_history:\n",
    "    zep_chat_history.append(\n",
    "        HumanMessage(content=msg[\"content\"])\n",
    "        if msg[\"role\"] == \"human\"\n",
    "        else AIMessage(content=msg[\"content\"])\n",
    "    )\n"
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   "cell_type": "markdown",
   "source": [
    "### Use the Zep Retriever to vector search over the Zep memory\n",
    "\n",
    "Zep provides native vector search over historical conversation memory. Embedding happens automatically.\n",
    "\n",
    "NOTE: Embedding of messages occurs asynchronously, so the first query may not return results. Subsequent queries will return results as the embeddings are generated."
   ],
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  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "[Document(page_content='Who was Octavia Butler?', metadata={'score': 0.7759001673780126, 'uuid': '3bedb2bf-aeaf-4849-924b-40a6d91e54b9', 'created_at': '2023-05-18T20:09:20.47556Z', 'role': 'human', 'token_count': 8})]"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain.retrievers import ZepRetriever\n",
    "\n",
    "zep_retriever = ZepRetriever(\n",
    "    session_id=session_id,  # Ensure that you provide the session_id when instantiating the Retriever\n",
    "    url=ZEP_API_URL,\n",
    "    top_k=5,\n",
    ")\n",
    "\n",
    "await zep_retriever.aget_relevant_documents(\"Who wrote Parable of the Sower?\")"
   ],
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  {
   "cell_type": "markdown",
   "source": [
    "We can also use the Zep sync API to retrieve results:"
   ],
   "metadata": {
    "collapsed": false
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  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "[Document(page_content='Who was Octavia Butler?', metadata={'score': 0.7759001673780126, 'uuid': '3bedb2bf-aeaf-4849-924b-40a6d91e54b9', 'created_at': '2023-05-18T20:09:20.47556Z', 'role': 'human', 'token_count': 8}),\n Document(page_content='Octavia Estelle Butler (June 22, 1947 – February 24, 2006) was an American science fiction author.', metadata={'score': 0.7545887969667749, 'uuid': 'b32c0644-2dcb-4c1d-a445-6622e7ba82e5', 'created_at': '2023-05-18T20:09:20.512044Z', 'role': 'ai', 'token_count': 31})]"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zep_retriever.get_relevant_documents(\"Who wrote Parable of the Sower?\")"
   ],
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