conversational_ragchain.ipynb

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   "source": [
    "# Notebook 5: Conversational RAG Chain\n",
    "\n",
    "%run \"retriever_and_ragchain_creation.ipynb\"\n",
    "\n",
    "\n",
    "from langchain_core.chat_history import BaseChatMessageHistory\n",
    "from langchain_community.chat_message_histories import ChatMessageHistory\n",
    "from langchain_core.runnables.history import RunnableWithMessageHistory\n",
    "\n",
    "store = {}\n",
    "\n",
    "def get_session_history(session_id: str) -> BaseChatMessageHistory:\n",
    "    if session_id not in store:\n",
    "        store[session_id] = ChatMessageHistory()\n",
    "    return store[session_id]\n",
    "\n",
    "def create_conversational_rag_chain(rag_chain):\n",
    "    return RunnableWithMessageHistory(\n",
    "        rag_chain,\n",
    "        get_session_history,\n",
    "        input_messages_key=\"input\",\n",
    "        history_messages_key=\"chat_history\",\n",
    "        output_messages_key=\"answer\",\n",
    "    )\n",
    "\n",
    "conversational_rag_chains = {key: create_conversational_rag_chain(rag_chain)\n",
    "                             for key, rag_chain in rag_chains.items()}\n",
    "\n"
   ]
  },
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   "source": []
  }
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