{"id":1482,"date":"2024-05-16T01:34:21","date_gmt":"2024-05-16T01:34:21","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1482"},"modified":"2024-05-16T01:35:01","modified_gmt":"2024-05-16T01:35:01","slug":"shiyong-openai-jishucongwenbenzhongchuangjianzhishitupuyi","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/shiyong-openai-jishucongwenbenzhongchuangjianzhishitupuyi.html","title":{"rendered":"\u4f7f\u7528 OpenAI \u6280\u672f\u4ece\u6587\u672c\u4e2d\u521b\u5efa\u77e5\u8bc6\u56fe\u8c31[\u8bd1]"},"content":{"rendered":"<p>\u4ece\u6587\u672c\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u62bd\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\u7684\u6280\u672f\u5df2\u7ecf\u5b58\u5728\u4e00\u6bb5\u65f6\u95f4\uff0c\u8fd9\u5e76\u975e\u4ec0\u4e48\u65b0\u6280\u672f\u3002\u4f46\u662f\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e3a\u4fe1\u606f\u63d0\u53d6\u6280\u672f\u5e26\u6765\u4e86\u7ffb\u5929\u8986\u5730\u7684\u53d8\u5316\u3002\u8fc7\u53bb\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u4e00\u4e2a\u7531\u673a\u5668\u5b66\u4e60\u4e13\u5bb6\u7ec4\u6210\u7684\u56e2\u961f\u6765\u6574\u7406\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u4e13\u7528\u6a21\u578b\uff0c\u800c\u73b0\u5728\uff0c\u4f60\u53ea\u9700\u8981\u4f7f\u7528\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u5c31\u53ef\u4ee5\u4e86\u3002\u8fd9\u5927\u5927\u964d\u4f4e\u4e86\u8fdb\u5165\u95e8\u69db\uff0c\u8ba9\u524d\u51e0\u5e74\u8fd8\u53ea\u5c5e\u4e8e\u9886\u57df\u4e13\u5bb6\u7684\u6280\u672f\uff0c\u73b0\u5728\u8fde\u975e\u6280\u672f\u4eba\u5458\u4e5f\u80fd\u8f7b\u677e\u638c\u63e1\u3002<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/49160f12636c2cf3548570eda9fdebd4.png\" alt=\"\u4f7f\u7528 OpenAI \u6280\u672f\u4ece\u6587\u672c\u4e2d\u521b\u5efa\u77e5\u8bc6\u56fe\u8c31[\u8bd1]\" \/><\/figure>\n<\/p>\n<p>\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u7684\u76ee\u7684\u662f\u5c06\u975e\u7ed3\u6784\u5316\u6587\u672c\u8f6c\u6362\u4e3a\u7ed3\u6784\u5316\u4fe1\u606f\u3002\u56fe\u7247\u6765\u6e90\u4e8e\u4f5c\u8005\u3002<\/p>\n<p>\u56fe\u7247\u5c55\u73b0\u4e86\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u5230\u7ed3\u6784\u5316\u4fe1\u606f\u7684\u8f6c\u6362\u8fc7\u7a0b\u3002\u8fd9\u4e2a\u88ab\u79f0\u4f5c\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u7684\u8fc7\u7a0b\uff0c\u6700\u7ec8\u5f62\u6210\u4e86\u4fe1\u606f\u7684\u56fe\u8c31\u8868\u793a\u3002\u56fe\u4e2d\u7684\u8282\u70b9\u4ee3\u8868\u5173\u952e\u5b9e\u4f53\uff0c\u8fde\u7ebf\u5219\u8868\u660e\u8fd9\u4e9b\u5b9e\u4f53\u4e4b\u95f4\u7684\u76f8\u4e92\u5173\u7cfb\u3002\u77e5\u8bc6\u56fe\u8c31\u5728\u8fdb\u884c<a href=\"\/neo4j\/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51\" target=\"_blank\" title=\"\/neo4j\/knowledge-graphs-llms-multi-hop-question-answering-322113f53f51\" rel=\"noopener\">\u591a\u6b65\u9aa4\u95ee\u7b54<\/a>\u3001<a href=\"\/neo4j\/knowledge-graphs-llms-real-time-graph-analytics-89b392eaaa95\" target=\"_blank\" title=\"\/neo4j\/knowledge-graphs-llms-real-time-graph-analytics-89b392eaaa95\" rel=\"noopener\">\u5b9e\u65f6\u6570\u636e\u5206\u6790<\/a>\u6216\u8005<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fblog.langchain.dev%2Fusing-a-knowledge-graph-to-implement-a-devops-rag-application%2F\" target=\"_blank\" title=\"https:\/\/blog.langchain.dev\/using-a-knowledge-graph-to-implement-a-devops-rag-application\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u5c06\u7ed3\u6784\u5316\u4e0e\u975e\u7ed3\u6784\u5316\u6570\u636e\u5408\u5e76\u5230\u540c\u4e00\u4e2a\u6570\u636e\u5e93\u4e2d<\/a>\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<p>\u867d\u7136\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4f7f\u5f97\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\uff0c\u4f46\u8fd9\u4e2a\u95ee\u9898\u8fdc\u672a\u5b8c\u5168\u89e3\u51b3\u3002\u5728\u8fd9\u7bc7\u535a\u5ba2\u4e2d\uff0c\u6211\u4eec\u5c06\u5c55\u793a\u5982\u4f55\u5229\u7528 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fpython.langchain.com%2Fdocs%2Fmodules%2Fchains%2Fhow_to%2Fopenai_functions\" target=\"_blank\" title=\"https:\/\/python.langchain.com\/docs\/modules\/chains\/how_to\/openai_functions\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">OpenAI \u51fd\u6570\u548c LangChain<\/a>\u6784\u5efa\u4e00\u4e2a\u4ece\u7ef4\u57fa\u767e\u79d1\u6837\u672c\u9875\u9762\u63d0\u53d6\u51fa\u7684\u77e5\u8bc6\u56fe\u8c31\uff0c\u5e76\u8ba8\u8bba\u5728\u6b64\u8fc7\u7a0b\u4e2d\u7684\u4e00\u4e9b\u6700\u4f73\u5b9e\u8df5\u4ee5\u53ca\u5f53\u524d\u5927\u8bed\u8a00\u6a21\u578b\u6240\u9762\u4e34\u7684\u4e00\u4e9b\u9650\u5236\u3002<\/p>\n<p>\u7b80\u800c\u8a00\u4e4b\uff0c\u76f8\u5173\u4ee3\u7801\u5df2\u7ecf\u53d1\u5e03\u5728<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2Ftomasonjo%2Fblogs%2Fblob%2Fmaster%2Fllm%2Fopenaifunction_constructing_graph.ipynb\" target=\"_blank\" title=\"https:\/\/github.com\/tomasonjo\/blogs\/blob\/master\/llm\/openaifunction_constructing_graph.ipynb\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">GitHub<\/a>\u4e0a\u3002<\/p>\n<h1 data-id=\"heading-0\">Neo4j \u73af\u5883\u642d\u5efa<\/h1>\n<p>\u8981\u8ddf\u968f\u672c\u535a\u5ba2\u7684\u793a\u4f8b\uff0c\u4f60\u9700\u8981\u642d\u5efa\u4e00\u4e2a Neo4j \u73af\u5883\u3002\u6700\u7b80\u5355\u7684\u65b9\u5f0f\u662f\u5728 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fneo4j.com%2Fcloud%2Fplatform%2Faura-graph-database%2F\" target=\"_blank\" title=\"https:\/\/neo4j.com\/cloud\/platform\/aura-graph-database\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Neo4j Aura<\/a>\u4e0a\u542f\u52a8\u4e00\u4e2a\u514d\u8d39\u7684\u4e91\u5b9e\u4f8b\u3002\u4f60\u4e5f\u53ef\u4ee5\u9009\u62e9\u4e0b\u8f7d <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fneo4j.com%2Fdownload%2F\" target=\"_blank\" title=\"https:\/\/neo4j.com\/download\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Neo4j Desktop<\/a> \u5e76\u521b\u5efa\u4e00\u4e2a\u672c\u5730\u6570\u636e\u5e93\u5b9e\u4f8b\u3002<\/p>\n<p>\u4ee5\u4e0b\u4ee3\u7801\u6bb5\u5c06\u6f14\u793a\u5982\u4f55\u4f7f\u7528 LangChain \u5305\u6765\u8fde\u63a5 Neo4j \u6570\u636e\u5e93\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\">from langchain.graphs import Neo4jGraph<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><span class=\"hljs-attr\">url<\/span> = <span class=\"hljs-string\">\"neo4j+s:\/\/databases.neo4j.io\"<\/span>  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\"><span class=\"hljs-attr\">username<\/span> =<span class=\"hljs-string\">\"neo4j\"<\/span>  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-attr\">password<\/span> = <span class=\"hljs-string\">\"\"<\/span>  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-attr\">graph<\/span> = Neo4jGraph(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><span class=\"hljs-attr\">url<\/span>=url,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\"><span class=\"hljs-attr\">username<\/span>=username,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><span class=\"hljs-attr\">password<\/span>=password  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">)<\/span>\n<\/code><\/pre>\n<h1 data-id=\"heading-1\">\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b<\/h1>\n<p>\u4e00\u4e2a\u6807\u51c6\u7684\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u901a\u5e38\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\u3002<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/15d79c7d49387fed3f8c5a256f68ade8.png\" alt=\"\u4f7f\u7528 OpenAI \u6280\u672f\u4ece\u6587\u672c\u4e2d\u521b\u5efa\u77e5\u8bc6\u56fe\u8c31[\u8bd1]\" \/><\/figure>\n<\/p>\n<p>\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u7684\u5404\u4e2a\u9636\u6bb5\u3002\n\u5728\u4fe1\u606f\u63d0\u53d6\u7684\u7b2c\u4e00\u6b65\uff0c\u6211\u4eec\u4f1a\u4f7f\u7528\u5171\u6307\u6d88\u89e3\u6a21\u578b\u5904\u7406\u8f93\u5165\u6587\u672c\u3002\u5171\u6307\u6d88\u89e3\u662f\u6307\u8bc6\u522b\u6240\u6709\u6307\u5411\u7279\u5b9a\u5b9e\u4f53\u7684\u8868\u8ff0\uff0c\u7b80\u800c\u8a00\u4e4b\uff0c\u5c31\u662f\u5c06\u4ee3\u8bcd\u4e0e\u5176\u6240\u6307\u7684\u5b9e\u4f53\u76f8\u8fde\u63a5\u3002\u5728\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u9636\u6bb5\uff0c\u6211\u4eec\u7684\u76ee\u6807\u662f\u8bc6\u522b\u6587\u672c\u4e2d\u63d0\u5230\u7684\u6240\u6709\u5b9e\u4f53\u3002\u4ee5\u524d\u9762\u7684\u4f8b\u5b50\u4e3a\u4f8b\uff0c\u8bc6\u522b\u51fa\u7684\u5b9e\u4f53\u6709\u4e09\u4e2a\uff1aTomaz\u3001Blog \u548c Diagram\u3002\u63a5\u4e0b\u6765\u662f\u5b9e\u4f53\u6d88\u6b67\u73af\u8282\uff0c\u8fd9\u662f\u4fe1\u606f\u63d0\u53d6\u4e2d\u975e\u5e38\u5173\u952e\u4f46\u5e38\u88ab\u5ffd\u7565\u7684\u4e00\u4e2a\u73af\u8282\u3002\u5b9e\u4f53\u6d88\u6b67\u662f\u6307\u5728\u4e0d\u540c\u5b9e\u4f53\u540d\u79f0\u6216\u5f15\u7528\u76f8\u4f3c\u7684\u60c5\u51b5\u4e0b\uff0c\u51c6\u786e\u533a\u5206\u5e76\u8bc6\u522b\u51fa\u7ed9\u5b9a\u4e0a\u4e0b\u6587\u4e2d\u6b63\u786e\u7684\u5b9e\u4f53\u3002\u5728\u6700\u540e\u4e00\u4e2a\u6b65\u9aa4\u4e2d\uff0c\u6a21\u578b\u4f1a\u5c1d\u8bd5\u8bc6\u522b\u5b9e\u4f53\u4e4b\u95f4\u7684\u4e0d\u540c\u5173\u7cfb\uff0c\u6bd4\u5982\u8bc6\u522b\u51fa <strong>Tomaz<\/strong> \u548c <strong>Blog<\/strong> \u4e4b\u95f4\u7684 <strong>\u559c\u6b22\uff08LIKES\uff09<\/strong> \u5173\u7cfb\u3002<\/p>\n<h2 data-id=\"heading-2\">\u5229\u7528 OpenAI \u51fd\u6570\u63d0\u53d6\u7ed3\u6784\u5316\u4fe1\u606f<\/h2>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fopenai.com%2Fblog%2Ffunction-calling-and-other-api-updates\" target=\"_blank\" title=\"https:\/\/openai.com\/blog\/function-calling-and-other-api-updates\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">OpenAI \u51fd\u6570<\/a>\u975e\u5e38\u9002\u5408\u4ece\u81ea\u7136\u8bed\u8a00\u6587\u672c\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\u3002OpenAI \u51fd\u6570\u7684\u6838\u5fc3\u601d\u60f3\u662f\u8ba9\u5927\u8bed\u8a00\u6a21\u578b\u8f93\u51fa\u4e00\u4e2a\u9884\u5b9a\u4e49\u7684\u3001\u5df2\u586b\u5145\u597d\u6570\u636e\u7684 JSON \u5bf9\u8c61\u3002\u8fd9\u4e2a\u9884\u5b9a\u4e49\u7684 JSON \u5bf9\u8c61\u65e2\u53ef\u4ee5\u4f5c\u4e3a\u6240\u8c13\u7684 RAG \u5e94\u7528\u7a0b\u5e8f\u4e2d\u5176\u4ed6\u51fd\u6570\u7684\u8f93\u5165\uff0c\u4e5f\u53ef\u4ee5\u7528\u6765\u76f4\u63a5\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u51fa\u9884\u8bbe\u7684\u7ed3\u6784\u5316\u4fe1\u606f\u3002<\/p>\n<p>\u5728 LangChain \u4e2d\uff0c\u4f60\u53ef\u4ee5<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fpython.langchain.com%2Fdocs%2Fmodules%2Fchains%2Fhow_to%2Fopenai_functions\" target=\"_blank\" title=\"https:\/\/python.langchain.com\/docs\/modules\/chains\/how_to\/openai_functions\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u4f20\u5165\u4e00\u4e2a Pydantic \u7c7b\u4f5c\u4e3a\u63cf\u8ff0<\/a>\uff0c\u4ee5\u5b9a\u4e49\u4f60\u5e0c\u671b OpenAI \u51fd\u6570\u8f93\u51fa\u7684 JSON \u5bf9\u8c61\u7684\u7ed3\u6784\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5c06\u4ece\u5b9a\u4e49\u6211\u4eec\u5e0c\u671b\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u7684\u4fe1\u606f\u7ed3\u6784\u5f00\u59cb\u3002LangChain \u5df2\u7ecf\u63d0\u4f9b\u4e86\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u7684\u8282\u70b9\u548c\u5173\u7cfb\u5b9a\u4e49\uff0c\u8fd9\u4e9b\u90fd\u662f\u4ee5 Pydantic \u7c7b\u7684\u5f62\u5f0f<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Flangchain%2Fblob%2Fmaster%2Flibs%2Flangchain%2Flangchain%2Fgraphs%2Fgraph_document.py\" target=\"_blank\" title=\"https:\/\/github.com\/langchain-ai\/langchain\/blob\/master\/libs\/langchain\/langchain\/graphs\/graph_document.py\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u9884\u5148\u5b9a\u4e49\u597d\u7684<\/a>\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">python<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-python code-block-extension-codeShowNum\" lang=\"python\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Node<\/span>(<span class=\"hljs-title class_ inherited__\">Serializable<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">    <span class=\"hljs-string\">\"\"\"Represents a node in a graph with associated properties.<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">    Attributes:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">        id (Union[str, int]): A unique identifier for the node.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\">        type (str): The type or label of the node, default is \"Node\".<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\">        properties (dict): Additional properties and metadata associated with the node.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\">    \"\"\"<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">    <span class=\"hljs-built_in\">id<\/span>: <span class=\"hljs-type\">Union<\/span>[<span class=\"hljs-built_in\">str<\/span>, <span class=\"hljs-built_in\">int<\/span>]<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\">    <span class=\"hljs-built_in\">type<\/span>: <span class=\"hljs-built_in\">str<\/span> = <span class=\"hljs-string\">\"Node\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\">    properties: <span class=\"hljs-built_in\">dict<\/span> = Field(default_factory=<span class=\"hljs-built_in\">dict<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"14\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"15\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Relationship<\/span>(<span class=\"hljs-title class_ inherited__\">Serializable<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"16\">    <span class=\"hljs-string\">\"\"\"Represents a directed relationship between two nodes in a graph.<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"17\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"18\">    Attributes:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"19\">        source (Node): The source node of the relationship.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"20\">        target (Node): The target node of the relationship.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"21\">        type (str): The type of the relationship.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"22\">        properties (dict): Additional properties associated with the relationship.<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"23\">    \"\"\"<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"24\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"25\">    source: Node<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"26\">    target: Node<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"27\">    <span class=\"hljs-built_in\">type<\/span>: <span class=\"hljs-built_in\">str<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"28\">    properties: <span class=\"hljs-built_in\">dict<\/span> = Field(default_factory=<span class=\"hljs-built_in\">dict<\/span>)<\/span>\n<\/code><\/pre>\n<p>\u9057\u61be\u7684\u662f\uff0c\u76ee\u524d OpenAI \u51fd\u6570\u8fd8\u4e0d\u652f\u6301\u4f7f\u7528\u5b57\u5178\u5bf9\u8c61\u4f5c\u4e3a\u503c\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u9700\u8981\u91cd\u65b0\u5b9a\u4e49 <strong>properties<\/strong>\uff0c\u4ee5\u786e\u4fdd\u5b83\u7b26\u5408\u51fd\u6570\u63a5\u53e3\u7684\u73b0\u6709\u9650\u5236\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">python<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-python code-block-extension-codeShowNum\" lang=\"python\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-keyword\">from<\/span> langchain.graphs.graph_document <span class=\"hljs-keyword\">import<\/span> (<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">    Node <span class=\"hljs-keyword\">as<\/span> BaseNode,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">    Relationship <span class=\"hljs-keyword\">as<\/span> BaseRelationship<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-keyword\">from<\/span> typing <span class=\"hljs-keyword\">import<\/span> <span class=\"hljs-type\">List<\/span>, <span class=\"hljs-type\">Dict<\/span>, <span class=\"hljs-type\">Any<\/span>, <span class=\"hljs-type\">Optional<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-keyword\">from<\/span> langchain.pydantic_v1 <span class=\"hljs-keyword\">import<\/span> Field, BaseModel<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Property<\/span>(<span class=\"hljs-title class_ inherited__\">BaseModel<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\">  <span class=\"hljs-string\">\"\"\"A single property consisting of key and value\"\"\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">  key: <span class=\"hljs-built_in\">str<\/span> = Field(..., description=<span class=\"hljs-string\">\"key\"<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\">  value: <span class=\"hljs-built_in\">str<\/span> = Field(..., description=<span class=\"hljs-string\">\"value\"<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Node<\/span>(<span class=\"hljs-title class_ inherited__\">BaseNode<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"14\">    properties: <span class=\"hljs-type\">Optional<\/span>[<span class=\"hljs-type\">List<\/span>[Property]] = Field(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"15\">        <span class=\"hljs-literal\">None<\/span>, description=<span class=\"hljs-string\">\"List of node properties\"<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"16\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"17\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Relationship<\/span>(<span class=\"hljs-title class_ inherited__\">BaseRelationship<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"18\">    properties: <span class=\"hljs-type\">Optional<\/span>[<span class=\"hljs-type\">List<\/span>[Property]] = Field(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"19\">        <span class=\"hljs-literal\">None<\/span>, description=<span class=\"hljs-string\">\"List of relationship properties\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"20\">    )<\/span>\n<\/code><\/pre>\n<p>\u5728\u6b64\uff0c\u6211\u4eec\u5c06 properties \u7684\u503c\u6539\u5199\u4e3a <strong>Property<\/strong> \u7c7b\u7684\u5217\u8868\uff0c\u800c\u975e\u539f\u672c\u7684\u5b57\u5178\u5f62\u5f0f\uff0c\u8fd9\u6837\u505a\u662f\u4e3a\u4e86\u89e3\u51b3 API \u7684\u4f7f\u7528\u9650\u5236\u3002\u7531\u4e8e API \u4ec5\u5141\u8bb8\u4f20\u9012\u5355\u4e00\u5bf9\u8c61\uff0c\u6211\u4eec\u5c06\u8282\u70b9\u548c\u5173\u7cfb\u6574\u5408\u5230\u4e00\u4e2a\u540d\u4e3a <strong>KnowledgeGraph<\/strong> \u7684\u7c7b\u4e2d\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">python<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-python code-block-extension-codeShowNum\" lang=\"python\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">KnowledgeGraph<\/span>(<span class=\"hljs-title class_ inherited__\">BaseModel<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">    <span class=\"hljs-string\">\"\"\"Generate a knowledge graph with entities and relationships.\"\"\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">    nodes: <span class=\"hljs-type\">List<\/span>[Node] = Field(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">        ..., description=<span class=\"hljs-string\">\"List of nodes in the knowledge graph\"<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">    rels: <span class=\"hljs-type\">List<\/span>[Relationship] = Field(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\">        ..., description=<span class=\"hljs-string\">\"List of relationships in the knowledge graph\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\">    )<\/span>\n<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u53ea\u9700\u5bf9\u63d0\u793a\u8fdb\u884c\u4e00\u756a\u7cbe\u7ec6\u8c03\u6574\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u52a8\u624b\u4e86\u3002\u6211\u7684\u63d0\u793a\u5de5\u7a0b\u901a\u5e38\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n<ul>\n<li>\u53cd\u590d\u5ba1\u67e5\u5e76\u7528\u81ea\u7136\u8bed\u8a00\u4f18\u5316\u63d0\u793a\uff0c\u4ee5\u6539\u5584\u7ed3\u679c<\/li>\n<li>\u5982\u679c\u6709\u4ec0\u4e48\u4e0d\u6309\u9884\u671f\u8fdb\u884c\uff0c\u5c31\u8bf7 ChatGPT \u8fdb\u884c\u6f84\u6e05\uff0c\u4f7f\u5176\u66f4\u6613\u4e8e\u88ab\u5927\u8bed\u8a00\u6a21\u578b\u7406\u89e3<\/li>\n<li>\u6700\u7ec8\uff0c\u5f53\u63d0\u793a\u5305\u542b\u4e86\u6240\u6709\u5fc5\u8981\u7684\u8bf4\u660e\u540e\uff0c\u8ba9 ChatGPT \u7528 markdown \u683c\u5f0f\u603b\u7ed3\u8fd9\u4e9b\u8bf4\u660e\uff0c\u8fd9\u4e0d\u4ec5\u53ef\u4ee5\u8282\u7701 Token\uff0c\u8fd8\u80fd\u8ba9\u6307\u4ee4\u66f4\u52a0\u660e\u4e86<\/li>\n<\/ul>\n<p>\u6211\u4e4b\u6240\u4ee5\u9009\u62e9 markdown \u683c\u5f0f\uff0c\u662f\u56e0\u4e3a\u6211\u6ce8\u610f\u5230 OpenAI \u6a21\u578b\u4f3c\u4e4e\u66f4\u5584\u4e8e\u54cd\u5e94 markdown \u8bed\u6cd5\u7684\u63d0\u793a\uff0c\u81f3\u5c11\u6839\u636e\u6211\u7684\u4f53\u9a8c\uff0c\u8fd9\u79cd\u505a\u6cd5\u662f\u5408\u7406\u7684\u3002<\/p>\n<p>\u7ecf\u8fc7\u4e00\u7cfb\u5217\u7684\u63d0\u793a\u5de5\u7a0b\u8fed\u4ee3\uff0c\u6211\u8bbe\u8ba1\u51fa\u4e86\u4ee5\u4e0b\u7528\u4e8e\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u7684\u7cfb\u7edf\u63d0\u793a\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">less<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-less code-block-extension-codeShowNum\" lang=\"less\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-selector-tag\">llm<\/span> = <span class=\"hljs-selector-tag\">ChatOpenAI<\/span>(model=<span class=\"hljs-string\">\"gpt-3.5-turbo-16k\"<\/span>, temperature=<span class=\"hljs-number\">0<\/span>)  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><span class=\"hljs-selector-tag\">def<\/span> <span class=\"hljs-selector-tag\">get_extraction_chain<\/span>(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\"><span class=\"hljs-attribute\">allowed_nodes<\/span>: Optional[List[str]] = None,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-attribute\">allowed_rels<\/span>: Optional[List[str]] = None  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\">):  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><span class=\"hljs-selector-tag\">prompt<\/span> = <span class=\"hljs-selector-tag\">ChatPromptTemplate<\/span><span class=\"hljs-selector-class\">.from_messages<\/span>(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\">[(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><span class=\"hljs-string\">\"system\"<\/span>,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">f<span class=\"hljs-string\">\"\"<\/span>\"# Knowledge Graph Instructions for GPT-<span class=\"hljs-number\">4<\/span>  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\">## <span class=\"hljs-number\">1<\/span>. Overview  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\">You are a top-tier algorithm designed for extracting information in structured formats to build a knowledge graph.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\">- **Nodes** represent entities <span class=\"hljs-keyword\">and<\/span> concepts. They're akin to Wikipedia nodes.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"14\">- The aim is to achieve simplicity <span class=\"hljs-keyword\">and<\/span> clarity in the knowledge graph, making it accessible for a vast audience.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"15\">## <span class=\"hljs-number\">2<\/span>. Labeling Nodes  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"16\">- **Consistency**: Ensure you use basic <span class=\"hljs-keyword\">or<\/span> elementary types for node labels.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"17\">- For example, when you identify an entity representing a person, always label it as **<span class=\"hljs-string\">\"person\"<\/span>**. Avoid using more specific terms like <span class=\"hljs-string\">\"mathematician\"<\/span> <span class=\"hljs-keyword\">or<\/span> <span class=\"hljs-string\">\"scientist\"<\/span>.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"18\">- **Node IDs**: Never utilize integers as node IDs. Node IDs should be names <span class=\"hljs-keyword\">or<\/span> human-readable identifiers found in the text.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"19\">{<span class=\"hljs-string\">'- **Allowed Node Labels:**'<\/span> + <span class=\"hljs-string\">\", \"<\/span>.<span class=\"hljs-built_in\">join<\/span>(allowed_nodes) if allowed_nodes else <span class=\"hljs-string\">\"\"<\/span>}  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"20\">{<span class=\"hljs-string\">'- **Allowed Relationship Types**:'<\/span> + <span class=\"hljs-string\">\", \"<\/span>.<span class=\"hljs-built_in\">join<\/span>(allowed_rels) if allowed_rels else <span class=\"hljs-string\">\"\"<\/span>}  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"21\">## <span class=\"hljs-number\">3<\/span>. Handling Numerical Data <span class=\"hljs-keyword\">and<\/span> Dates  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"22\">- Numerical data, like age <span class=\"hljs-keyword\">or<\/span> other related information, should be incorporated as attributes <span class=\"hljs-keyword\">or<\/span> properties of the respective nodes.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"23\">- **No Separate Nodes for Dates\/Numbers**: Do <span class=\"hljs-keyword\">not<\/span> create separate nodes for dates <span class=\"hljs-keyword\">or<\/span> numerical values. Always attach them as attributes <span class=\"hljs-keyword\">or<\/span> properties of nodes.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"24\">- **Property Format**: Properties must be in a key-value format.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"25\">- **Quotation Marks**: Never use escaped single <span class=\"hljs-keyword\">or<\/span> double quotes within property values.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"26\">- **Naming Convention**: Use camelCase for property keys, e.g., <span class=\"hljs-built_in\">`birthDate`<\/span>.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"27\">## <span class=\"hljs-number\">4<\/span>. Coreference <span class=\"hljs-attribute\">Resolution<\/span>  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"28\">- **Maintain Entity Consistency**: When extracting entities, it's vital to ensure consistency.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"29\">If an entity, such as <span class=\"hljs-string\">\"John Doe\"<\/span>, is mentioned multiple times in the text but is referred to by different names <span class=\"hljs-keyword\">or<\/span> pronouns (e.g., <span class=\"hljs-string\">\"Joe\"<\/span>, <span class=\"hljs-string\">\"he\"<\/span>),  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"30\">always use the most complete identifier for that entity throughout the knowledge graph. In this example, use <span class=\"hljs-string\">\"John Doe\"<\/span> as the entity ID.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"31\">Remember, the knowledge graph should be coherent <span class=\"hljs-keyword\">and<\/span> easily understandable, so maintaining consistency in entity references is crucial.  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"32\">## <span class=\"hljs-number\">5<\/span>. Strict Compliance  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"33\">Adhere to the rules strictly. Non-compliance will result in termination.<span class=\"hljs-string\">\"\"<\/span>\"),  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"34\">(<span class=\"hljs-string\">\"human\"<\/span>, <span class=\"hljs-string\">\"Use the given format to extract information from the following input: {input}\"<\/span>),  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"35\">(<span class=\"hljs-string\">\"human\"<\/span>, <span class=\"hljs-string\">\"Tip: Make sure to answer in the correct format\"<\/span>),  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"36\">])  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"37\"><span class=\"hljs-selector-tag\">return<\/span> <span class=\"hljs-selector-tag\">create_structured_output_chain<\/span>(KnowledgeGraph, llm, prompt, verbose=False)<\/span>\n<\/code><\/pre>\n<p>\u4f60\u53ef\u4ee5\u6ce8\u610f\u5230\uff0c\u6211\u4eec\u5728\u4f7f\u7528 GPT-3.5 \u6a21\u578b\u7684 16k \u7248\u672c\u3002\u9009\u62e9\u5b83\u7684\u4e3b\u8981\u7406\u7531\u662f OpenAI \u51fd\u6570\u7684\u8f93\u51fa\u662f\u7ed3\u6784\u5316\u7684 JSON \u5bf9\u8c61\uff0c\u800c\u8fd9\u79cd\u7ed3\u6784\u5316\u7684 JSON \u8bed\u6cd5\u4f1a\u663e\u8457\u589e\u52a0\u7ed3\u679c\u7684 token \u6d88\u8017\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u4f60\u9700\u8981\u7528\u66f4\u591a\u7684 token \u6765\u6362\u53d6\u8f93\u51fa\u7684\u7ed3\u6784\u5316\u4fbf\u6377\u6027\u3002<\/p>\n<p>\u9664\u4e86\u57fa\u672c\u7684\u64cd\u4f5c\u6307\u5357\uff0c\u6211\u8fd8\u589e\u52a0\u4e86\u4e00\u4e2a\u9009\u9879\uff0c\u5141\u8bb8\u9650\u5236\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u7279\u5b9a\u7684\u8282\u70b9\u6216\u5173\u7cfb\u7c7b\u578b\u3002\u901a\u8fc7\u5b9e\u4f8b\uff0c\u4f60\u4f1a\u660e\u767d\u8fd9\u4e2a\u529f\u80fd\u4e3a\u4f55\u5b9e\u7528\u3002<\/p>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u5df2\u7ecf\u642d\u5efa\u597d\u4e86 Neo4j \u6570\u636e\u5e93\u7684\u8fde\u63a5\u548c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63d0\u793a\u6846\u67b6\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u53ef\u4ee5\u628a\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u7b80\u5316\u4e3a\u4e00\u4e2a\u5355\u72ec\u7684\u51fd\u6570\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\">def extract_and_store_graph(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">document: Document,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">nodes:Optional<span class=\"hljs-section\">[List[str]]<\/span> = None,  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">rels:Optional<span class=\"hljs-section\">[List[str]]<\/span>=None) -&gt; None:  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-comment\"># Extract graph data using OpenAI functions  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-attr\">extract_chain<\/span> = get_extraction_chain(nodes, rels)  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><span class=\"hljs-attr\">data<\/span> = extract_chain.run(document.page_content)  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\"><span class=\"hljs-comment\"># Construct a graph document  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><span class=\"hljs-attr\">graph_document<\/span> = GraphDocument(  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\"><span class=\"hljs-attr\">nodes<\/span> = [map_to_base_node(node) for node in data.nodes],  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\"><span class=\"hljs-attr\">relationships<\/span> = [map_to_base_relationship(rel) for rel in data.rels],  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\"><span class=\"hljs-attr\">source<\/span> = document  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\">)  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"14\"><span class=\"hljs-comment\"># Store information into a graph  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"15\">graph.add_graph_documents(<span class=\"hljs-section\">[graph_document]<\/span>)<\/span>\n<\/code><\/pre>\n<p>\u8fd9\u4e2a\u51fd\u6570\u9700\u8981\u8f93\u5165\u4e00\u4e2a LangChain \u6587\u6863\uff0c\u5e76\u53ef\u4ee5\u9009\u62e9\u6027\u5730\u8f93\u5165\u8282\u70b9\u548c\u5173\u7cfb\u53c2\u6570\uff0c\u8fd9\u4e9b\u53c2\u6570\u7684\u4f5c\u7528\u662f\u9650\u5b9a\u5927\u8bed\u8a00\u6a21\u578b\u5e94\u8bc6\u522b\u548c\u62bd\u53d6\u7684\u5bf9\u8c61\u7c7b\u578b\u3002\u5c31\u5728\u5927\u7ea6\u4e00\u4e2a\u6708\u524d\uff0c\u6211\u4eec\u5411 Neo4j \u56fe\u6570\u636e\u5e93\u5bf9\u8c61\u4e2d\u589e\u52a0\u4e86 <code>add_graph_documents<\/code> \u65b9\u6cd5\uff0c\u73b0\u5728\u6211\u4eec\u53ef\u4ee5\u501f\u52a9\u8fd9\u4e2a\u65b9\u6cd5\u6765\u8f7b\u677e\u6574\u5408\u56fe\u6570\u636e\u3002<\/p>\n<h2 data-id=\"heading-3\">\u8bc4\u4f30<\/h2>\n<p>\u6211\u4eec\u8ba1\u5212\u4ece\u6c83\u5c14\u7279\u00b7\u8fea\u58eb\u5c3c\u7684\u7ef4\u57fa\u767e\u79d1\u9875\u9762\u62bd\u53d6\u4fe1\u606f\uff0c\u5e76\u4ee5\u6b64\u6765\u6784\u5efa\u77e5\u8bc6\u56fe\u8c31\uff0c\u7528\u4ee5\u68c0\u9a8c\u6574\u4e2a\u6d41\u7a0b\u7684\u6548\u679c\u3002\u5728\u8fd9\u4e00\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u4f1a\u4f7f\u7528 LangChain \u63d0\u4f9b\u7684\u7ef4\u57fa\u767e\u79d1\u5185\u5bb9\u52a0\u8f7d\u548c\u6587\u672c\u5206\u5757\u529f\u80fd\u6a21\u5757\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\">from langchain.document_loaders import WikipediaLoader  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">from langchain.text_splitter import TokenTextSplitter  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\"><span class=\"hljs-comment\"># Read the wikipedia article  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-attr\">raw_documents<\/span> = WikipediaLoader(query=<span class=\"hljs-string\">\"Walt Disney\"<\/span>).load()  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-comment\"># Define chunking strategy  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><span class=\"hljs-attr\">text_splitter<\/span> = TokenTextSplitter(chunk_size=<span class=\"hljs-number\">2048<\/span>, chunk_overlap=<span class=\"hljs-number\">24<\/span>)  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\">  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><span class=\"hljs-comment\"># Only take the first the raw_documents  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\"><span class=\"hljs-attr\">documents<\/span> = text_splitter.split_documents(raw_documents[:<span class=\"hljs-number\">3<\/span>])<\/span>\n<\/code><\/pre>\n<p>\u60a8\u53ef\u80fd\u6ce8\u610f\u5230\u4e86\u6211\u4eec\u8bbe\u7f6e\u4e86\u4e00\u4e2a\u6bd4\u8f83\u5927\u7684 chunk_size \u503c\u3002\u8fd9\u4e48\u505a\u7684\u7406\u7531\u662f\u6211\u4eec\u5e0c\u671b\u4e3a\u6bcf\u4e2a\u53e5\u5b50\u63d0\u4f9b\u5c3d\u53ef\u80fd\u591a\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8fd9\u6837\u53ef\u4ee5\u6700\u5927\u5316\u5171\u6307\u6d88\u89e3\u6b65\u9aa4\u7684\u6548\u679c\u3002\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5171\u6307\u6d88\u89e3\u53ea\u6709\u5728\u5b9e\u4f53\u53ca\u5176\u6307\u4ee3\u540c\u65f6\u51fa\u73b0\u5728\u540c\u4e00\u6587\u672c\u5757\u4e2d\u65f6\u624d\u80fd\u6b63\u5e38\u5de5\u4f5c\uff1b\u5982\u679c\u4e0d\u662f\u8fd9\u6837\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5c31\u7f3a\u4e4f\u5c06\u5b83\u4eec\u5173\u8054\u8d77\u6765\u7684\u8db3\u591f\u4fe1\u606f\u3002<\/p>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5f00\u59cb\u5c06\u6587\u6863\u901a\u8fc7\u4fe1\u606f\u63d0\u53d6\u6d41\u7a0b\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">scss<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-scss code-block-extension-codeShowNum\" lang=\"scss\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\">from tqdm import tqdm  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">for <span class=\"hljs-selector-tag\">i<\/span>, d in <span class=\"hljs-built_in\">tqdm<\/span>(enumerate(documents), total=<span class=\"hljs-built_in\">len<\/span>(documents)):  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">    <span class=\"hljs-built_in\">extract_and_store_graph<\/span>(d)<\/span>\n<\/code><\/pre>\n<p>\u6574\u4e2a\u5904\u7406\u8fc7\u7a0b\u5927\u7ea6\u9700\u89815\u5206\u949f\uff0c\u76f8\u5bf9\u6765\u8bf4\u901f\u5ea6\u4e0d\u5feb\u3002\u56e0\u6b64\uff0c\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u5e76\u884c\u6267\u884c API \u8c03\u7528\u4ee5\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u5e76\u4e14\u5b9e\u73b0\u53ef\u6269\u5c55\u6027\u3002<\/p>\n<p>\u6211\u4eec\u5148\u6765\u770b\u770b\u5927\u8bed\u8a00\u6a21\u578b\u8bc6\u522b\u51fa\u7684\u8282\u70b9\u548c\u5173\u7cfb\u7c7b\u578b\u3002<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/febba89e45b91107395e538c4c99b734.png\" alt=\"image.png\" \/><\/figure>\n<\/p>\n<p>\u56e0\u4e3a\u6ca1\u6709\u9884\u8bbe\u7684\u56fe\u8c31\u6a21\u5f0f\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u9700\u8981\u5373\u65f6\u51b3\u5b9a\u4f7f\u7528\u54ea\u4e9b\u8282\u70b9\u6807\u7b7e\u548c\u5173\u7cfb\u7c7b\u578b\u3002\u6bd4\u5982\u8bf4\uff0c\u6211\u4eec\u53d1\u73b0\u5b83\u6807\u8bb0\u4e86 Company \u548c Organization \u4e24\u79cd\u8282\u70b9\u3002\u8fd9\u4e24\u8005\u5728\u8bed\u4e49\u4e0a\u53ef\u80fd\u5f88\u63a5\u8fd1\u6216\u8005\u5b8c\u5168\u76f8\u540c\uff0c\u56e0\u6b64\u6211\u4eec\u53ea\u9700\u8981\u4e00\u4e2a\u8282\u70b9\u6807\u7b7e\u6765\u7edf\u4e00\u8868\u793a\u5b83\u4eec\u3002\u5173\u7cfb\u7c7b\u578b\u7684\u95ee\u9898\u66f4\u52a0\u660e\u663e\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u540c\u65f6\u53d1\u73b0\u4e86 CO-FOUNDER \u548c COFOUNDEROF\uff0c\u4ee5\u53ca DEVELOPER \u548c DEVELOPEDBY \u8fd9\u6837\u7684\u5173\u7cfb\u7c7b\u578b\u3002<\/p>\n<p>\u5bf9\u4e8e\u4efb\u4f55\u66f4\u6b63\u5f0f\u7684\u9879\u76ee\uff0c\u4f60\u5e94\u8be5\u9884\u5148\u5b9a\u4e49\u597d\u5927\u8bed\u8a00\u6a21\u578b\u9700\u8981\u63d0\u53d6\u7684\u8282\u70b9\u6807\u7b7e\u548c\u5173\u7cfb\u7c7b\u578b\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9009\u9879\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u989d\u5916\u7684\u53c2\u6570\u6765\u9650\u5236\u8fd9\u4e9b\u7c7b\u578b\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-comment\"># Specify which node labels should be extracted by the LLM  <\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">allowed_nodes<\/span> = [<span class=\"hljs-string\">\"Person\"<\/span>, <span class=\"hljs-string\">\"Company\"<\/span>, <span class=\"hljs-string\">\"Location\"<\/span>, <span class=\"hljs-string\">\"Event\"<\/span>, <span class=\"hljs-string\">\"Movie\"<\/span>, <span class=\"hljs-string\">\"Service\"<\/span>, <span class=\"hljs-string\">\"Award\"<\/span>]  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">for i, d in tqdm(enumerate(documents), <span class=\"hljs-attr\">total<\/span>=len(documents)):  <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">extract_and_store_graph(d, allowed_nodes)<\/span>\n<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4ec5\u5bf9\u8282\u70b9\u6807\u7b7e\u8bbe\u7f6e\u4e86\u9650\u5236\uff0c\u4e0d\u8fc7\u4f60\u4e5f\u53ef\u4ee5\u901a\u8fc7\u7ed9 extract_and_store_graph \u51fd\u6570\u4f20\u9012\u989d\u5916\u7684\u53c2\u6570\u6765\u540c\u6837\u9650\u5236\u5173\u7cfb\u7c7b\u578b\u3002<\/p>\n<p>\u63d0\u53d6\u51fa\u6765\u7684\u5b50\u56fe\u7684\u7ed3\u6784\u5982\u4e0b\u6240\u793a\u3002<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/5dc326b6d5a68908c17789529049cb2e.png\" alt=\"image.png\" \/><\/figure>\n<\/p>\n<p>\u8fd9\u4e2a\u56fe\u7684\u6548\u679c\u6bd4\u9884\u671f\u7684\u597d\uff08\u7ecf\u8fc7\u4e86\u4e94\u8f6e\u8fed\u4ee3 :)\uff09\u3002\u53ef\u89c6\u5316\u4e2d\u6ca1\u529e\u6cd5\u5b8c\u6574\u5c55\u793a\u6574\u4e2a\u56fe\uff0c\u4f46\u4f60\u53ef\u4ee5\u901a\u8fc7 Neo4j \u6d4f\u89c8\u5668\u6216\u5176\u4ed6\u5de5\u5177\u81ea\u884c\u63a2\u7d22\u3002<\/p>\n<h2 data-id=\"heading-4\">\u5b9e\u4f53\u6d88\u6b67<\/h2>\n<p>\u6709\u4e00\u70b9\u6211\u9700\u8981\u7279\u522b\u8bf4\u660e\uff0c\u6211\u4eec\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u5ffd\u7565\u4e86\u5b9e\u4f53\u6d88\u6b67\u7684\u6b65\u9aa4\u3002\u6211\u4eec\u5904\u7406\u65f6\u9009\u7528\u4e86\u8f83\u5927\u7684\u6570\u636e\u5757\uff0c\u5e76\u5728\u7cfb\u7edf\u63d0\u793a\u4e2d\u52a0\u5165\u4e86\u7279\u522b\u7684\u6307\u4ee4\u6765\u6267\u884c\u5171\u6307\u6d88\u89e3\u548c\u5b9e\u4f53\u6d88\u6b67\u3002\u4f46\u662f\uff0c\u56e0\u4e3a\u6bcf\u4e2a\u6570\u636e\u5757\u662f\u72ec\u7acb\u5904\u7406\u7684\uff0c\u6211\u4eec\u65e0\u6cd5\u4fdd\u8bc1\u4e0d\u540c\u6587\u672c\u5757\u4e4b\u95f4\u5b9e\u4f53\u7684\u4e00\u81f4\u6027\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u4f60\u53ef\u80fd\u4f1a\u9047\u5230\u4e24\u4e2a\u4ee3\u8868\u540c\u4e00\u4eba\u7684\u8282\u70b9\u3002\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/5e9b59faa5239880225ed27ee26d7f2c.png\" alt=\"\u4f7f\u7528 OpenAI \u6280\u672f\u4ece\u6587\u672c\u4e2d\u521b\u5efa\u77e5\u8bc6\u56fe\u8c31[\u8bd1]\" \/><\/figure>\n<\/p>\n<p>\u51fa\u73b0\u591a\u4e2a\u8282\u70b9\u4ee3\u8868\u540c\u4e00\u5b9e\u4f53\u7684\u60c5\u51b5\u3002<\/p>\n<p>\u4ee5\u8fd9\u4e2a\u4f8b\u5b50\u4e3a\u4f8b\uff0cWalt Disney \u548c Walter Elias Disney \u90fd\u6307\u5411\u540c\u4e00\u4e2a\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u4eba\u7269\u3002\u5b9e\u4f53\u6d88\u6b67\u8fd9\u4e2a\u95ee\u9898\u5e76\u975e\u65b0\u9c9c\u4e8b\uff0c\u4e1a\u754c\u5df2\u7ecf\u63d0\u51fa\u4e86\u591a\u79cd\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<ul>\n<li>\u5229\u7528 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fwikifier.org%2Fabout.html\" target=\"_blank\" title=\"https:\/\/wikifier.org\/about.html\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u5b9e\u4f53\u94fe\u63a5<\/a> \u6216 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2FSapienzaNLP%2Fextend\" target=\"_blank\" title=\"https:\/\/github.com\/SapienzaNLP\/extend\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u5b9e\u4f53\u6d88\u6b67<\/a> \u7684 NLP \u6a21\u578b<\/li>\n<li>\u8fdb\u884c <a href=\"\/neo4j\/creating-a-knowledge-graph-from-video-transcripts-with-gpt-4-52d7c7b9f32c\" target=\"_blank\" title=\"\/neo4j\/creating-a-knowledge-graph-from-video-transcripts-with-gpt-4-52d7c7b9f32c\" rel=\"noopener\">LLM \u7684\u4e8c\u6b21\u5904\u7406<\/a>\uff0c\u5e76\u8ba9\u5b83\u6765\u8fdb\u884c\u5b9e\u4f53\u6d88\u6b67<\/li>\n<li>\u91c7\u7528 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fneo4j.com%2Fdeveloper-blog%2Fexploring-supervised-entity-resolution-in-neo4j%2F\" target=\"_blank\" title=\"https:\/\/neo4j.com\/developer-blog\/exploring-supervised-entity-resolution-in-neo4j\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u57fa\u4e8e\u56fe\u7684\u65b9\u6cd5<\/a><\/li>\n<\/ul>\n<p>\u4f60\u5e94\u8be5\u9009\u62e9\u54ea\u79cd\u65b9\u6848\u53d6\u51b3\u4e8e\u4f60\u7684\u4e1a\u52a1\u9886\u57df\u548c\u5177\u4f53\u573a\u666f\u3002\u4f46\u662f\uff0c\u8bf7\u8bb0\u4f4f\uff0c\u4e0d\u8981\u5ffd\u89c6\u5b9e\u4f53\u6d88\u6b67\u8fd9\u4e00\u6b65\uff0c\u56e0\u4e3a\u5b83\u5bf9\u4e8e\u63d0\u9ad8\u4f60\u7684 RAG\uff08\u5173\u7cfb\u548c\u56fe\uff09\u5e94\u7528\u7a0b\u5e8f\u7684\u51c6\u786e\u6027\u548c\u6548\u679c\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<h2 data-id=\"heading-5\">RAG \u5e94\u7528<\/h2>\n<p>\u6211\u4eec\u63a5\u4e0b\u6765\u8981\u505a\u7684\u662f\u6f14\u793a\u5982\u4f55\u901a\u8fc7\u6784\u5efa Cypher \u67e5\u8be2\u8bed\u53e5\u6765\u5728\u77e5\u8bc6\u56fe\u8c31\u4e2d\u68c0\u7d22\u4fe1\u606f\u3002Cypher \u662f\u56fe\u6570\u636e\u5e93\u7684\u67e5\u8be2\u8bed\u8a00\uff0c\u548c SQL \u5bf9\u4e8e\u5173\u7cfb\u6570\u636e\u5e93\u7684\u4f5c\u7528\u7c7b\u4f3c\u3002LangChain \u63d0\u4f9b\u4e86\u4e00\u4e2a <a href=\"\/neo4j\/langchain-cypher-search-tips-tricks-f7c9e9abca4d\" target=\"_blank\" title=\"\/neo4j\/langchain-cypher-search-tips-tricks-f7c9e9abca4d\" rel=\"noopener\">GraphCypherQAChain<\/a>\uff0c\u5b83\u80fd\u6839\u636e\u56fe\u7684\u7ed3\u6784\u548c\u7528\u6237\u7684\u8f93\u5165\u6765\u751f\u6210\u76f8\u5e94\u7684 Cypher \u67e5\u8be2\u8bed\u53e5\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-comment\"># Query the knowledge graph in a RAG application<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">from langchain.chains import GraphCypherQAChain<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">graph.refresh_schema()<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-attr\">cypher_chain<\/span> = GraphCypherQAChain.from_llm(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\">    <span class=\"hljs-attr\">graph<\/span>=graph,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\">    <span class=\"hljs-attr\">cypher_llm<\/span>=ChatOpenAI(temperature=<span class=\"hljs-number\">0<\/span>, model=<span class=\"hljs-string\">\"gpt-4\"<\/span>),<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\">    <span class=\"hljs-attr\">qa_llm<\/span>=ChatOpenAI(temperature=<span class=\"hljs-number\">0<\/span>, model=<span class=\"hljs-string\">\"gpt-3.5-turbo\"<\/span>),<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">    <span class=\"hljs-attr\">validate_cypher<\/span>=<span class=\"hljs-literal\">True<\/span>, <span class=\"hljs-comment\"># Validate relationship directions<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\">    <span class=\"hljs-attr\">verbose<\/span>=<span class=\"hljs-literal\">True<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\">)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\">cypher_chain.run(\"When was Walter Elias Disney born?\")<\/span>\n<\/code><\/pre>\n<p>\u8fd9\u5c31\u4ea7\u751f\u4e86\u4ee5\u4e0b\u7ed3\u679c\uff1a<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/46cc881832ca25ddfb5883a5007d6e2e.png\" alt=\"image.png\" \/><\/figure>\n<\/p>\n<h2 data-id=\"heading-6\">\u603b\u7ed3<\/h2>\n<p>\u5982\u679c\u4f60\u9700\u8981\u5c06\u7ed3\u6784\u5316\u4e0e\u975e\u7ed3\u6784\u5316\u6570\u636e\u7ed3\u5408\u8d77\u6765\u4ee5\u589e\u5f3a\u4f60\u7684 RAG \u5e94\u7528\u7a0b\u5e8f\uff0c\u77e5\u8bc6\u56fe\u8c31\u5c06\u662f\u4e00\u4e2a\u6781\u4f73\u7684\u9009\u62e9\u3002\u5728\u8fd9\u7bc7\u535a\u5ba2\u4e2d\uff0c\u4f60\u5b66\u5230\u4e86\u5982\u4f55\u5229\u7528 OpenAI \u51fd\u6570\u5728 Neo4j \u4e2d\u6839\u636e\u4efb\u610f\u6587\u672c\u521b\u5efa\u77e5\u8bc6\u56fe\u8c31\u3002OpenAI \u51fd\u6570\u4ee5\u5176\u6574\u6d01\u7684\u7ed3\u6784\u5316\u8f93\u51fa\u800c\u4fbf\u5229\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u62bd\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\u3002\u4e3a\u4e86\u786e\u4fdd\u5728\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u6784\u5efa\u56fe\u8c31\u65f6\u6709\u4e00\u4e2a\u6109\u5feb\u7684\u4f53\u9a8c\uff0c\u8bf7\u52a1\u5fc5\u8be6\u5c3d\u5730\u5b9a\u4e49\u56fe\u8c31\u7684\u67b6\u6784\uff0c\u5e76\u4e14\u5728\u4fe1\u606f\u62bd\u53d6\u4e4b\u540e\u52a0\u5165\u5b9e\u4f53\u6d88\u6b67\u7684\u6b65\u9aa4\u3002<\/p>\n<p>\u5982\u679c\u4f60\u60f3\u8fdb\u4e00\u6b65\u4e86\u89e3\u5982\u4f55\u4f7f\u7528\u56fe\u6280\u672f\u6784\u5efa AI \u5e94\u7528\uff0c\u8bf7\u53c2\u52a0 Neo4j \u5728 2023 \u5e74 10 \u6708 26 \u65e5\u4e3e\u529e\u7684 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fneo4j.registration.goldcast.io%2Fevents%2F6fb85147-ca27-4310-9dec-cb345c53bd6f%3Fref%3Dblog.langchain.dev\" target=\"_blank\" title=\"https:\/\/neo4j.registration.goldcast.io\/events\/6fb85147-ca27-4310-9dec-cb345c53bd6f?ref=blog.langchain.dev\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">NODES \u5728\u7ebf 24 \u5c0f\u65f6\u4f1a\u8bae<\/a>\u3002<\/p>\n<p>\u76f8\u5173\u4ee3\u7801\u5df2\u7ecf\u53d1\u5e03\u5728 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2Ftomasonjo%2Fblogs%2Fblob%2Fmaster%2Fllm%2Fopenaifunction_constructing_graph.ipynb\" target=\"_blank\" title=\"https:\/\/github.com\/tomasonjo\/blogs\/blob\/master\/llm\/openaifunction_constructing_graph.ipynb\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">GitHub<\/a> \u4e0a\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>\u4ece\u6587\u672c\u7b49\u975e\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u62bd\u53d6\u7ed3\u6784\u5316\u4fe1\u606f\u7684\u6280\u672f\u5df2\u7ecf\u5b58\u5728\u4e00\u6bb5\u65f6\u95f4\uff0c\u8fd9\u5e76\u975e\u4ec0\u4e48\u65b0\u6280\u672f\u3002\u4f46\u662f\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e3a\u4fe1\u606f\u63d0\u53d6\u6280\u672f\u5e26\u6765\u4e86\u7ffb\u5929\u8986\u5730\u7684\u53d8\u5316\u3002<\/p>\n","protected":false},"author":1,"featured_media":9045,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","views":"3","footnotes":""},"categories":[3],"tags":[126,127,128,129,136],"collection":[],"class_list":["post-1482","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fenlei2","tag-gpt","tag-ai","tag-128","tag-129","tag-136"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1482","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/comments?post=1482"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1482\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media\/9045"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1482"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1482"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1482"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1482"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}