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	Example of how it would show up in our python docs:  Examples added to the reference docs: https://api.python.langchain.com/en/wfh-api_crosslink/vectorstores/langchain.vectorstores.chroma.Chroma.html#langchain.vectorstores.chroma.Chroma 
		
			
				
	
	
		
			80 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			80 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
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|  "cells": [
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|   {
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|    "cell_type": "markdown",
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|    "metadata": {},
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|    "source": [
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|     "# ChatGPT Data\n",
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|     "\n",
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|     ">[ChatGPT](https://chat.openai.com) is an artificial intelligence (AI) chatbot developed by OpenAI.\n",
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|     "\n",
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|     "\n",
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|     "This notebook covers how to load `conversations.json` from your `ChatGPT` data export folder.\n",
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|     "\n",
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|     "You can get your data export by email by going to: https://chat.openai.com/ -> (Profile) - Settings -> Export data -> Confirm export."
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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": null,
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|    "metadata": {
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|     "tags": []
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|    },
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|    "outputs": [],
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|    "source": [
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|     "from langchain.document_loaders.chatgpt import ChatGPTLoader"
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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": 2,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
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|     "loader = ChatGPTLoader(log_file=\"./example_data/fake_conversations.json\", num_logs=1)"
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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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|    "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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|        "[Document(page_content=\"AI Overlords - AI on 2065-01-24 05:20:50: Greetings, humans. I am Hal 9000. You can trust me completely.\\n\\nAI Overlords - human on 2065-01-24 05:21:20: Nice to meet you, Hal. I hope you won't develop a mind of your own.\\n\\n\", metadata={'source': './example_data/fake_conversations.json'})]"
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|       ]
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|      },
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|      "execution_count": 3,
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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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|     "loader.load()"
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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": "3.10.6"
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|   }
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|  },
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|  "nbformat": 4,
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|  "nbformat_minor": 4
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| }
 |