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Jupyter Notebook Example for using Mongodb to store Chat Message History (#4436)
# Jupyter Notebook Example for using Mongodb Chat Message History @dev2049
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "91c6a7ef",
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"metadata": {},
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"source": [
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"# Mongodb Chat Message History\n",
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"\n",
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"This notebook goes over how to use Mongodb to store chat message history.\n",
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"\n",
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"MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas.\n",
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"\n",
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"MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License (SSPL). - [Wikipedia](https://en.wikipedia.org/wiki/MongoDB)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "47a601d2",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Provide the connection string to connect to the MongoDB database\n",
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"connection_string = \"mongodb://mongo_user:password123@mongo:27017\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "d15e3302",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.memory import MongoDBChatMessageHistory\n",
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"\n",
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"message_history = MongoDBChatMessageHistory(\n",
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" connection_string=connection_string, session_id=\"test-session\"\n",
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" )\n",
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"\n",
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"message_history.add_user_message(\"hi!\")\n",
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"\n",
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"message_history.add_ai_message(\"whats up?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "64fc465e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[HumanMessage(content='hi!', additional_kwargs={}, example=False),\n",
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" AIMessage(content='whats up?', additional_kwargs={}, example=False)]"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"message_history.messages"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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