{"id":55368,"date":"2025-02-19T12:01:58","date_gmt":"2025-02-19T04:01:58","guid":{"rendered":"https:\/\/fwq.ai\/blog\/55368\/"},"modified":"2025-02-19T12:01:58","modified_gmt":"2025-02-19T04:01:58","slug":"%e5%9c%a8obsidian%e7%ac%94%e8%ae%b0%e4%b8%ad%e6%9c%89%e6%95%88%e8%bf%90%e7%94%a8%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/55368\/","title":{"rendered":"\u5728Obsidian\u7b14\u8bb0\u4e2d\u6709\u6548\u8fd0\u7528\u8bed\u8a00\u6a21\u578b"},"content":{"rendered":"

\u4eca\u5929\u6211\u5728Hacker News\u4e0a\u770b\u5230\u4e86\u4e00\u7bc7\u5173\u4e8eObsidian\u96c6\u6210\u4e86ChatGPT\u7684\u65b0\u63d2\u4ef6\u7684\u6587\u7ae0\u3002\u5e02\u573a\u4e0a\u6709\u4e0d\u5c11\u6b64\u7c7b\u5de5\u5177\uff0c\u6211\u4e50\u4e8e\u770b\u5230\u4eba\u4eec\u7528\u4e0d\u540c\u7684\u65b9\u5f0f\u628a\u5b83\u4eec\u5e94\u7528\u4e8eObsidian\u3002\u5b83\u4eec\u80fd\u591f\u5e2e\u52a9\u4eba\u4eec\u5efa\u7acb\u8054\u7cfb\uff0c\u8ba9\u4f60\u7684\u7b14\u8bb0\u5185\u5bb9\u66f4\u52a0\u6df1\u5165\u3002\u6709\u8bc4\u8bba\u8005\u89c9\u5f97\u8fd9\u4f1a\u66ff\u4ee3\u4f60\u539f\u672c\u5e94\u81ea\u884c\u5b8c\u6210\u7684\u5de5\u4f5c\uff0c\u7136\u800c\u6211\u8ba4\u4e3a\u8fd9\u5b9e\u9645\u4e0a\u4e3a\u4f60\u63d0\u4f9b\u4e86\u65b0\u9896\u4e14\u60ca\u4eba\u7684\u80fd\u529b\u3002<\/p>\n

 <\/p>\n

\u4e0e\u7b14\u8bb0\u5bf9\u8bdd<\/h2>\n

 <\/p>\n

<\/p>\n

\u6216\u8bb8\u6700\u76f4\u63a5\u4e5f\u662f\u4f60\u6700\u60f3\u505a\u7684\u4e8b\u60c5\uff0c\u5c31\u662f\u4e0e\u7b14\u8bb0\u5185\u5bb9\u5bf9\u8bdd\u3002\u63d0\u51fa\u95ee\u9898\u4ee5\u6df1\u5165\u4e86\u89e3\u3002\u5982\u679c\u80fd\u76f4\u63a5\u5c06\u8fd9\u4e2a\u6a21\u578b\u5bf9\u51c6\u4f60\u7684\u7b14\u8bb0\uff0c\u7136\u540e\u5c31\u4e00\u5207\u987a\u5229\uff0c\u90a3\u4f1a\u975e\u5e38\u4fbf\u5229\u3002\u4f46\u662f\u5927\u90e8\u5206\u6a21\u578b\u65e0\u6cd5\u4e00\u6b21\u6027\u5904\u7406\u6240\u6709\u5185\u5bb9\u3002<\/p>\n

\u5f53\u4f60\u6709\u95ee\u9898\u65f6\uff0c\u5e76\u975e\u6240\u6709\u7b14\u8bb0\u90fd\u4e0e\u4e4b\u76f8\u5173\u3002\u4f60\u9700\u8981\u627e\u5230\u76f8\u5173\u90e8\u5206\uff0c\u7136\u540e\u63d0\u4ea4\u7ed9\u6a21\u578b\u3002Obsidian\u63d0\u4f9b\u641c\u7d22\u529f\u80fd\uff0c\u4f46\u5b83\u53ea\u80fd\u641c\u5bfb\u786e\u5207\u7684\u8bcd\u8bed\u548c\u77ed\u8bed\uff0c\u6211\u4eec\u9700\u8981\u641c\u5bfb\u7684\u662f\u6982\u5ff5\u3002\u8fd9\u5c31\u662f\u5d4c\u5165\u7d22\u5f15\u7684\u7528\u6b66\u4e4b\u5730\u3002\u521b\u5efa\u7d22\u5f15\u5b9e\u9645\u4e0a\u662f\u975e\u5e38\u7b80\u5355\u7684\u3002<\/p>\n

 <\/p>\n

\u6784\u5efa\u7d22\u5f15\u5668<\/h2>\n

 <\/p>\n

\u521b\u5efaObsidian\u63d2\u4ef6\u65f6\uff0c\u4f60\u53ef\u4ee5\u8bbe\u7f6e\u5b83\u5728\u542f\u52a8\u65f6\u6267\u884c\u67d0\u4e9b\u64cd\u4f5c\uff0c\u7136\u540e\u5f53\u4f60\u6267\u884c\u547d\u4ee4\u3001\u6253\u5f00\u7b14\u8bb0\u6216\u5728Obsidian\u4e2d\u8fdb\u884c\u5176\u5b83\u6d3b\u52a8\u65f6\u6267\u884c\u5176\u4ed6\u64cd\u4f5c\u3002\u6240\u4ee5\u6211\u4eec\u5e0c\u671b\u8fd9\u4e2a\u63d2\u4ef6\u4e00\u5f00\u59cb\u5c31\u80fd\u7406\u89e3\u4f60\u7684\u7b14\u8bb0\uff0c\u5e76\u4e14\u5b83\u5e94\u8be5\u4fdd\u5b58\u5b83\u7684\u8fdb\u5ea6\uff0c\u8fd9\u6837\u5c31\u4e0d\u9700\u8981\u518d\u6b21\u751f\u6210\u7d22\u5f15\u4e86\u3002\u8ba9\u6211\u4eec\u770b\u4e00\u6bb5\u4ee3\u7801\u793a\u4f8b\uff0c\u5b83\u5c55\u793a\u4e86\u5982\u4f55\u4e3a\u6211\u4eec\u7684\u7b14\u8bb0\u5efa\u7acb\u7d22\u5f15\u3002\u6211\u6b64\u5904\u4f7f\u7528\u7684\u662f[]\uff0c[]\u4e5f\u662f\u4e00\u4e2a\u6781\u597d\u7684\u9009\u62e9\u3002<\/p>\n

\n

import { VectorStoreIndex, serviceContextFromDefaults, storageContextFromDefaults, MarkdownReader } from “llamaindex”;<\/p>\n

const service_context = serviceContextFromDefaults({ chunkSize: 256 })
const storage_context = await storageContextFromDefaults({ persistDir: “.\/storage” });<\/p>\n

const mdpath = process.argv[2];
const mdreader = new MarkdownReader();
const thedoc = await mdreader.loadData(mdpath)<\/p>\n<\/blockquote>\n

\u9996\u5148\uff0c\u6211\u4eec\u8981\u521d\u59cb\u5316\u4e00\u4e2a\u5185\u5b58\u4e2d\u7684\u6570\u636e\u4ed3\u5e93\u3002\u8fd9\u662fLlama Index\u81ea\u5e26\u7684\u5b58\u50a8\u8bbe\u65bd\uff0c\u4f46Chroma DB\u4e5f\u662f\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002\u7b2c\u4e8c\u884c\u4ee3\u7801\u8868\u793a\u6211\u4eec\u8981\u6301\u4e45\u5316\u7d22\u5f15\u4e2d\u7684\u6240\u6709\u5185\u5bb9\u3002\u63a5\u4e0b\u6765\uff0c\u83b7\u53d6\u6587\u4ef6\u8def\u5f84\u5e76\u521d\u59cb\u5316\u4e00\u4e2a\u8bfb\u53d6\u5668\uff0c\u7136\u540e\u8bfb\u53d6\u6587\u4ef6\u3002Llama Index\u61c2Markdown\uff0c\u6240\u4ee5\u5b83\u53ef\u4ee5\u6b63\u786e\u8bfb\u53d6\u5e76\u4e3a\u5185\u5bb9\u5efa\u7acb\u7d22\u5f15\u3002\u5b83\u8fd8\u652f\u6301PDF\u3001\u6587\u672c\u6587\u4ef6\u3001Notion\u6587\u6863\u7b49\u7b49\u3002\u5b83\u4e0d\u4ec5\u5b58\u50a8\u5355\u8bcd\uff0c\u8fd8\u7406\u89e3\u5355\u8bcd\u7684\u542b\u4e49\u4ee5\u53ca\u5b83\u4eec\u4e0e\u6587\u672c\u4e2d\u5176\u4ed6\u5355\u8bcd\u7684\u5173\u7cfb\u3002<\/p>\n

\n

await VectorStoreIndex.fromDocuments(thedoc, { storageContext: storage_context, serviceContext: service_context });<\/p>\n<\/blockquote>\n

\u73b0\u5728\uff0c\u8fd9\u90e8\u5206\u4ee3\u7801\u5229\u7528\u4e86OpenAI\u7684\u4e00\u4e2a\u670d\u52a1\uff0c\u4f46\u5b83\u4e0eChatGPT\u662f\u5206\u5f00\u7684\uff0c\u4f7f\u7528\u7684\u662f\u4e0d\u540c\u7684\u6a21\u578b\u548c\u4ea7\u54c1\u3002Langchain\u4e5f\u63d0\u4f9b\u66ff\u4ee3\u54c1\uff0c\u53ef\u4ee5\u672c\u5730\u5b8c\u6210\u8fd9\u9879\u5de5\u4f5c\uff0c\u5c3d\u7ba1\u901f\u5ea6\u7a0d\u6162\u3002Ollama\u4e5f\u63d0\u4f9b\u5d4c\u5165\u529f\u80fd\u3002\u4f60\u8fd8\u53ef\u4ee5\u5728\u4e91\u7aef\u7684\u4e00\u4e2a\u8d85\u5feb\u901f\u81ea\u6258\u7ba1\u5b9e\u4f8b\u4e0a\u4f7f\u7528\u8fd9\u4e9b\u670d\u52a1\uff0c\u5f85\u7d22\u5f15\u5b8c\u6210\u540e\u518d\u5173\u95ed\u8be5\u5b9e\u4f8b\u3002<\/p>\n

 <\/p>\n

\u641c\u7d22\u7b14\u8bb0<\/h2>\n

 <\/p>\n

\u6211\u4eec\u5df2\u7ecf\u4e3a\u8fd9\u4e2a\u6587\u4ef6\u5efa\u7acb\u4e86\u7d22\u5f15\u3002Obsidian\u53ef\u4ee5\u5217\u51fa\u6240\u6709\u6587\u4ef6\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u53cd\u590d\u8fd0\u884c\u8fd9\u4e00\u8fc7\u7a0b\u3002\u6211\u4eec\u6b63\u5728\u6301\u4e45\u5316\u6570\u636e\uff0c\u56e0\u6b64\u53ea\u9700\u64cd\u4f5c\u4e00\u6b21\u3002\u73b0\u5728\u6211\u4eec\u5982\u4f55\u63d0\u95ee\uff1f\u6211\u4eec\u9700\u8981\u4e00\u4e9b\u4ee3\u7801\uff0c\u53bb\u6211\u4eec\u7684\u7b14\u8bb0\u4e2d\u627e\u5230\u76f8\u5173\u90e8\u5206\uff0c\u9012\u4ea4\u7ed9\u6a21\u578b\uff0c\u5e76\u4f7f\u7528\u8fd9\u4e9b\u4fe1\u606f\u5f97\u5230\u7b54\u6848\u3002<\/p>\n

\n

const storage_context = await storageContextFromDefaults({ persistDir: “.\/storage” });
const index = await VectorStoreIndex.init({ storageContext: storage_context });
const ret = index.asRetriever();
ret.similarityTopK = 5
const prompt = process.argv[2];
const response = await ret.retrieve(prompt);
const systemPrompt = `Use the following text to help come up with an answer to the prompt: ${response.map(r => r.node.toJSON().text).join(” – “)} `<\/p>\n<\/blockquote>\n

\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5df2\u5904\u7406\u7684\u5185\u5bb9\u6765\u521d\u59cb\u5316\u7d22\u5f15\u3002`Retriever.retrieve`\u8fd9\u4e00\u884c\u4f1a\u5229\u7528\u63d0\u793a\u4fe1\u606f\u627e\u5230\u6240\u6709\u76f8\u5173\u7684\u7b14\u8bb0\u7247\u6bb5\uff0c\u5e76\u5c06\u6587\u672c\u8fd4\u56de\u7ed9\u6211\u4eec\u3002\u8fd9\u91cc\u6211\u4eec\u8bbe\u5b9a\u4f7f\u7528\u524d5\u4e2a\u6700\u5339\u914d\u7684\u7ed3\u679c\u3002\u56e0\u6b64\u6211\u5c06\u4ece\u7b14\u8bb0\u4e2d\u5f97\u52305\u4e2a\u6587\u672c\u7247\u6bb5\u3002\u6709\u4e86\u8fd9\u4e9b\u539f\u59cb\u6570\u636e\uff0c\u6211\u4eec\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u7cfb\u7edf\u63d0\u793a\u6765\u6307\u5bfc\u6a21\u578b\u5728\u6211\u4eec\u63d0\u51fa\u95ee\u9898\u65f6\u5e94\u8be5\u5982\u4f55\u4f5c\u7b54\u3002<\/p>\n

\n

const = new Ollama();
ollama.setModel(“llama2”);
ollama.setSystemPrompt(systemPrompt);
const genout = await ollama.generate(prompt);<\/p>\n<\/blockquote>\n

\u63a5\u7740\uff0c\u6211\u4eec\u5f00\u59cb\u4f7f\u7528\u6a21\u578b\u3002\u6211\u4f7f\u7528\u4e86\u6211\u51e0\u5929\u524d\u521b\u5efa\u7684\u4e00\u4e2a\u5728[]\u4e0a\u7684\u5e93\u3002\u6211\u8bbe\u5b9a\u6a21\u578b\u4f7f\u7528llama2<\/strong>\uff0c\u5b83\u5df2\u7ecf\u901a\u8fc7\u547d\u4ee4`ollama pull llama2`\u4e0b\u8f7d\u5230\u6211\u7684\u673a\u5668\u4e0a\u4e86\u3002\u4f60\u53ef\u4ee5\u8bd5\u9a8c\u4e0d\u540c\u7684\u6a21\u578b\u6765\u627e\u5230\u6700\u9002\u5408\u4f60\u7684\u7b54\u6848\u3002<\/p>\n

\u4e3a\u4e86\u5feb\u901f\u5f97\u5230\u7b54\u6848\uff0c\u4f60\u5e94\u8be5\u9009\u62e9\u4e00\u4e2a\u5c0f\u578b\u6a21\u578b\u3002\u4f46\u540c\u65f6\uff0c\u4f60\u4e5f\u8981\u9009\u62e9\u4e00\u4e2a\u8f93\u5165\u4e0a\u4e0b\u6587\u5927\u5c0f\u8db3\u591f\u5bb9\u7eb3\u6240\u6709\u6587\u672c\u7247\u6bb5\u7684\u6a21\u578b\u3002\u6211\u8bbe\u7f6e\u4e86\u81f3\u591a5\u4e2a256\u4ee4\u724c\u7684\u6587\u672c\u7247\u6bb5\u3002\u7cfb\u7edf\u63d0\u793a\u4e2d\u5305\u62ec\u4e86\u6211\u4eec\u7684\u6587\u672c\u7247\u6bb5\u3002\u53ea\u9700\u63d0\u51fa\u95ee\u9898\uff0c\u51e0\u79d2\u949f\u5185\u5c31\u53ef\u4ee5\u5f97\u5230\u7b54\u6848\u3002<\/p>\n

\u592a\u68d2\u4e86\uff0c\u73b0\u5728\u6211\u4eec\u7684Obsidian\u63d2\u4ef6\u80fd\u591f\u9002\u5f53\u5730\u663e\u793a\u7b54\u6848\u3002<\/p>\n

 <\/p>\n

\u6211\u4eec\u8fd8\u80fd\u505a\u4ec0\u4e48\uff1f<\/h2>\n

 <\/p>\n

\u4f60\u8fd8\u53ef\u4ee5\u8003\u8651\u7b80\u5316\u6587\u672c\u5185\u5bb9\uff0c\u6216\u8005\u627e\u51fa\u6700\u4f73\u5173\u952e\u8bcd\u4e0e\u4f60\u7684\u6587\u672c\u76f8\u5339\u914d\u5e76\u5c06\u5b83\u4eec\u52a0\u5165\u5230\u5143\u6570\u636e\u4e2d\uff0c\u8fd9\u6837\u4f60\u5c31\u80fd\u66f4\u597d\u5730\u5c06\u7b14\u8bb0\u8054\u7cfb\u8d77\u6765\u3002\u6211\u5c1d\u8bd5\u8fc7\u5236\u4f5c10\u4e2a\u6709\u7528\u7684\u95ee\u9898\u548c\u7b54\u6848\uff0c\u5e76\u5c06\u5b83\u4eec\u53d1\u9001\u5230[]\u3002\u4f60\u53ef\u80fd\u4f1a\u60f3\u5c1d\u8bd5\u4e0d\u540c\u7684\u6a21\u578b\u548c\u63d0\u793a\u6765\u8fbe\u6210\u8fd9\u4e9b\u4e0d\u540c\u7684\u76ee\u7684\u3002\u6839\u636e\u4efb\u52a1\u9700\u6c42\u66f4\u6539\u63d0\u793a\u751a\u81f3\u6a21\u578b\u6743\u91cd\u90fd\u975e\u5e38\u5bb9\u6613\u3002<\/p>\n

\u6211\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u7ed9\u4f60\u4e00\u4e9b\u542f\u53d1\uff0c\u8ba9\u4f60\u4e86\u89e3\u5982\u4f55\u4e3aObsidian\u6216\u5176\u4ed6\u7b14\u8bb0\u5de5\u5177\u5f00\u53d1\u4e0b\u4e00\u4e2a\u4f18\u79c0\u7684\u63d2\u4ef6\u3002\u5982\u4f60\u5728[]\u6240\u89c1\uff0c\u4f7f\u7528\u6700\u65b0\u7684\u672c\u5730AI\u5de5\u5177\u662f\u8f7b\u800c\u6613\u4e3e\u7684\uff0c\u5e76\u4e14\u6211\u5e0c\u671b\u4f60\u80fd\u5411\u6211\u5c55\u793a\u4f60\u7684\u521b\u610f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4eca\u5929\u6211\u5728Hacker News\u4e0a\u770b\u5230\u4e86\u4e00\u7bc7\u5173\u4e8eObsidian\u96c6\u6210\u4e86ChatGPT\u7684\u65b0\u63d2\u4ef6\u7684\u6587\u7ae0\u3002\u5e02\u573a\u4e0a\u6709\u4e0d\u5c11\u6b64\u7c7b\u5de5\u5177\uff0c\u6211\u4e50\u4e8e\u770b\u5230\u4eba\u4eec\u7528\u4e0d\u540c\u7684\u65b9\u5f0f\u628a\u5b83\u4eec\u5e94\u7528\u4e8eObsidian\u3002\u5b83\u4eec\u80fd\u591f\u5e2e\u52a9\u4eba\u4eec\u5efa\u7acb\u8054\u7cfb\uff0c\u8ba9\u4f60\u7684\u7b14\u8bb0\u5185\u5bb9\u66f4\u52a0\u6df1\u5165\u3002\u6709\u8bc4\u8bba\u8005\u89c9\u5f97\u8fd9\u4f1a\u66ff\u4ee3\u4f60\u539f\u672c\u5e94\u81ea\u884c\u5b8c\u6210\u7684\u5de5\u4f5c\uff0c\u7136\u800c\u6211\u8ba4\u4e3a\u8fd9\u5b9e\u9645\u4e0a\u4e3a\u4f60\u63d0\u4f9b\u4e86\u65b0\u9896\u4e14\u60ca\u4eba\u7684\u80fd\u529b\u3002   \u4e0e\u7b14\u8bb0\u5bf9\u8bdd   \u6216\u8bb8\u6700\u76f4\u63a5\u4e5f\u662f\u4f60\u6700\u60f3\u505a\u7684\u4e8b\u60c5\uff0c\u5c31\u662f\u4e0e\u7b14\u8bb0\u5185\u5bb9\u5bf9\u8bdd\u3002\u63d0\u51fa\u95ee\u9898\u4ee5\u6df1\u5165\u4e86\u89e3\u3002\u5982\u679c\u80fd\u76f4\u63a5\u5c06\u8fd9\u4e2a\u6a21\u578b\u5bf9\u51c6\u4f60\u7684\u7b14\u8bb0\uff0c\u7136\u540e\u5c31\u4e00\u5207\u987a\u5229\uff0c\u90a3\u4f1a\u975e\u5e38\u4fbf\u5229\u3002\u4f46\u662f\u5927\u90e8\u5206\u6a21\u578b\u65e0\u6cd5\u4e00\u6b21\u6027\u5904\u7406\u6240\u6709\u5185\u5bb9\u3002 \u5f53\u4f60\u6709\u95ee\u9898\u65f6\uff0c\u5e76\u975e\u6240\u6709\u7b14\u8bb0\u90fd\u4e0e\u4e4b\u76f8\u5173\u3002\u4f60\u9700\u8981\u627e\u5230\u76f8\u5173\u90e8\u5206\uff0c\u7136\u540e\u63d0\u4ea4\u7ed9\u6a21\u578b\u3002Obsidian\u63d0\u4f9b\u641c\u7d22\u529f\u80fd\uff0c\u4f46\u5b83\u53ea\u80fd\u641c\u5bfb\u786e\u5207\u7684\u8bcd\u8bed\u548c\u77ed\u8bed\uff0c\u6211\u4eec\u9700\u8981\u641c\u5bfb\u7684\u662f\u6982\u5ff5\u3002\u8fd9\u5c31\u662f\u5d4c\u5165\u7d22\u5f15\u7684\u7528\u6b66\u4e4b\u5730\u3002\u521b\u5efa\u7d22\u5f15\u5b9e\u9645\u4e0a\u662f\u975e\u5e38\u7b80\u5355\u7684\u3002   \u6784\u5efa\u7d22\u5f15\u5668   \u521b\u5efaObsidian\u63d2\u4ef6\u65f6\uff0c\u4f60\u53ef\u4ee5\u8bbe\u7f6e\u5b83\u5728\u542f\u52a8\u65f6\u6267\u884c\u67d0\u4e9b\u64cd\u4f5c\uff0c\u7136\u540e\u5f53\u4f60\u6267\u884c\u547d\u4ee4\u3001\u6253\u5f00\u7b14\u8bb0\u6216\u5728Obsidian\u4e2d\u8fdb\u884c\u5176\u5b83\u6d3b\u52a8\u65f6\u6267\u884c\u5176\u4ed6\u64cd\u4f5c\u3002\u6240\u4ee5\u6211\u4eec\u5e0c\u671b\u8fd9\u4e2a\u63d2\u4ef6\u4e00\u5f00\u59cb\u5c31\u80fd\u7406\u89e3\u4f60\u7684\u7b14\u8bb0\uff0c\u5e76\u4e14\u5b83\u5e94\u8be5\u4fdd\u5b58\u5b83\u7684\u8fdb\u5ea6\uff0c\u8fd9\u6837\u5c31\u4e0d\u9700\u8981\u518d\u6b21\u751f\u6210\u7d22\u5f15\u4e86\u3002\u8ba9\u6211\u4eec\u770b\u4e00\u6bb5\u4ee3\u7801\u793a\u4f8b\uff0c\u5b83\u5c55\u793a\u4e86\u5982\u4f55\u4e3a\u6211\u4eec\u7684\u7b14\u8bb0\u5efa\u7acb\u7d22\u5f15\u3002\u6211\u6b64\u5904\u4f7f\u7528\u7684\u662f[]\uff0c[]\u4e5f\u662f\u4e00\u4e2a\u6781\u597d\u7684\u9009\u62e9\u3002 import { VectorStoreIndex, serviceContextFromDefaults, storageContextFromDefaults, MarkdownReader } from “llamaindex”; const service_context = serviceContextFromDefaults({ chunkSize: 256 }) const storage_context = await storageContextFromDefaults({ persistDir: “.\/storage” }); const mdpath = process.argv[2]; const mdreader = new MarkdownReader(); const thedoc = await mdreader.loadData(mdpath) \u9996\u5148\uff0c\u6211\u4eec\u8981\u521d\u59cb\u5316\u4e00\u4e2a\u5185\u5b58\u4e2d\u7684\u6570\u636e\u4ed3\u5e93\u3002\u8fd9\u662fLlama Index\u81ea\u5e26\u7684\u5b58\u50a8\u8bbe\u65bd\uff0c\u4f46Chroma DB\u4e5f\u662f\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002\u7b2c\u4e8c\u884c\u4ee3\u7801\u8868\u793a\u6211\u4eec\u8981\u6301\u4e45\u5316\u7d22\u5f15\u4e2d\u7684\u6240\u6709\u5185\u5bb9\u3002\u63a5\u4e0b\u6765\uff0c\u83b7\u53d6\u6587\u4ef6\u8def\u5f84\u5e76\u521d\u59cb\u5316\u4e00\u4e2a\u8bfb\u53d6\u5668\uff0c\u7136\u540e\u8bfb\u53d6\u6587\u4ef6\u3002Llama Index\u61c2Markdown\uff0c\u6240\u4ee5\u5b83\u53ef\u4ee5\u6b63\u786e\u8bfb\u53d6\u5e76\u4e3a\u5185\u5bb9\u5efa\u7acb\u7d22\u5f15\u3002\u5b83\u8fd8\u652f\u6301PDF\u3001\u6587\u672c\u6587\u4ef6\u3001Notion\u6587\u6863\u7b49\u7b49\u3002\u5b83\u4e0d\u4ec5\u5b58\u50a8\u5355\u8bcd\uff0c\u8fd8\u7406\u89e3\u5355\u8bcd\u7684\u542b\u4e49\u4ee5\u53ca\u5b83\u4eec\u4e0e\u6587\u672c\u4e2d\u5176\u4ed6\u5355\u8bcd\u7684\u5173\u7cfb\u3002 await VectorStoreIndex.fromDocuments(thedoc, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-55368","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/55368","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=55368"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/55368\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=55368"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=55368"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=55368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}