{"id":18279,"date":"2024-11-07T00:35:24","date_gmt":"2024-11-06T21:05:24","guid":{"rendered":"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/"},"modified":"2024-11-07T00:35:24","modified_gmt":"2024-11-06T21:05:24","slug":"%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/","title":{"rendered":"\u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 LangChain \u0648 GPT \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0686\u0646\u062f\u06cc\u0646 \u0633\u0646\u062f"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/#%d9%85%d8%ad%db%8c%d8%b7_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%a2%d9%85%d8%a7%d8%af%d9%87_%da%a9%d9%86%db%8c%d8%af\" >\u0645\u062d\u06cc\u0637 \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/#%d8%a7%d8%b3%d9%86%d8%a7%d8%af_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%da%a9%d9%86%db%8c%d8%af\" >\u0627\u0633\u0646\u0627\u062f \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/#%d9%85%d8%af%d9%84_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%af%d8%b1%d8%ae%d9%88%d8%a7%d8%b3%d8%aa_%da%a9%d9%86%db%8c%d8%af\" >\u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u06a9\u0646\u06cc\u062f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-langchain-%d9%88-gpt-%d8%a8%d8%b1%d8%a7%db%8c-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%da%86\/#%d8%a8%d8%b3%d8%aa%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 3<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<section class=\"post-content \" data-test-label=\"post-content\">\n<p>\u062f\u0631 \u062d\u062f\u0648\u062f \u06cc\u06a9 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647\u060c \u062f\u0646\u06cc\u0627\u06cc \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u060c \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627 \u0648 \u0641\u0631\u0622\u06cc\u0646\u062f\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0645\u0628\u062a\u06a9\u0631\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646 \u0628\u0632\u0631\u06af \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f \u0645\u0646\u0641\u062c\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u067e\u0631\u0648\u0698\u0647 LangChain \u0627\u0633\u062a. \u0647\u062f\u0641 \u06a9\u0644\u06cc \u0634\u0627\u0645\u0644 \u0627\u0631\u0627\u0626\u0647 \u0627\u062f\u063a\u0627\u0645 \u0622\u0633\u0627\u0646 \u0628\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 LLM \u0627\u0633\u062a. \u0627\u0645\u0627 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 LangChain \u0646\u06cc\u0632 \u0686\u0646\u06cc\u0646 \u0627\u0633\u062a host \u0628\u0647 \u062a\u0639\u062f\u0627\u062f \u0641\u0632\u0627\u06cc\u0646\u062f\u0647\u200c\u0627\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc (\u06af\u0627\u0647\u06cc \u062a\u062c\u0631\u0628\u06cc) \u06a9\u0647 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc LLM \u0641\u0631\u0648\u062a\u0646 \u0631\u0627 \u067e\u06cc\u0634 \u0645\u06cc\u200c\u0628\u0631\u0646\u062f.<\/p>\n<p>\u0645\u062f\u062a\u06cc \u0631\u0627 \u0635\u0631\u0641 \u0645\u0631\u0648\u0631 \u0648\u0628 \u0633\u0627\u06cc\u062a LangChain \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062d\u0633\u06cc \u0627\u0632 \u0622\u0646\u0686\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f. \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f \u06a9\u0647 \u0686\u0646\u062f \u0627\u0628\u0632\u0627\u0631 \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u0634\u0645\u0627 \u062f\u0631 \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<p>\u0627\u0645\u0627 \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0622\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u0627\u062a\u0635\u0627\u0644 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0631\u062f \u0639\u0644\u0627\u0642\u0647 \u062e\u0648\u062f \u0628\u0627 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0632\u0646\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635\u060c \u0627\u06cc\u0646 \u0646\u0633\u062e\u0647 \u0646\u0645\u0627\u06cc\u0634\u06cc \u0628\u0647 \u0634\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc\u060c \u062e\u0644\u0627\u0635\u0647 \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u0633\u0646\u0627\u062f \u0622\u0646\u0644\u0627\u06cc\u0646 \u0637\u0648\u0644\u0627\u0646\u06cc \u0648 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0647\u0645\u0647 \u0686\u06cc\u0632 \u0627\u062a\u0641\u0627\u0642 \u0628\u06cc\u0641\u062a\u062f\u060c \u0628\u0647 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u062f (\u0645\u0627\u0646\u0646\u062f Jupyter \u0622\u0632\u0645\u0627\u06cc\u0634\u06af\u0627\u0647) \u0648 \u06cc\u06a9 \u06a9\u0644\u06cc\u062f OpenAI API \u0645\u0639\u062a\u0628\u0631.<\/p>\n<h3 id=\"heading-prepare-your-environment\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ad%db%8c%d8%b7_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%a2%d9%85%d8%a7%d8%af%d9%87_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0645\u062d\u06cc\u0637 \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 LangChain \u0634\u0627\u0645\u0644 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0641\u0627\u06cc\u0644 PDF \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0648\u0627\u0632\u06cc \u0648 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0627\u0632 GPT \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0646\u0647\u0627 \u0627\u0633\u062a.<\/p>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062e\u0648\u062f\u062a\u0627\u0646 \u062f\u0631 \u0645\u0633\u062a\u0646\u062f\u0627\u062a LangChain \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u0645\u0627\u0698\u0648\u0644 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0627\u062c\u0627\u0632\u0647 \u0645\u0635\u0631\u0641 PDF \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0631\u062f. \u0645\u0646 \u0642\u0635\u062f \u062f\u0627\u0631\u0645 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06cc\u06a9 \u0646\u0645\u0648\u0646\u0647 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u06a9\u0646\u0645 \u06a9\u0647 \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0622\u0646 \u0627\u0633\u062a \u0631\u0648\u06cc \u0645\u062b\u0627\u0644 \u062f\u0631 \u0622\u0646 \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u0634\u0631\u0648\u0639 \u0622\u0646 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-keyword\">import<\/span> os\nos.environ[<span class=\"hljs-string\">'OPENAI_API_KEY'<\/span>] = <span class=\"hljs-string\">\"sk-xxx\"<\/span>\n<span class=\"hljs-keyword\">from<\/span> pydantic <span class=\"hljs-keyword\">import<\/span> BaseModel, Field\n<span class=\"hljs-keyword\">from<\/span> langchain.chat_models <span class=\"hljs-keyword\">import<\/span> ChatOpenAI\n<span class=\"hljs-keyword\">from<\/span> langchain.agents <span class=\"hljs-keyword\">import<\/span> Tool\n<span class=\"hljs-keyword\">from<\/span> langchain.embeddings.openai <span class=\"hljs-keyword\">import<\/span> OpenAIEmbeddings\n<span class=\"hljs-keyword\">from<\/span> langchain.text_splitter <span class=\"hljs-keyword\">import<\/span> CharacterTextSplitter\n<span class=\"hljs-keyword\">from<\/span> langchain.vectorstores <span class=\"hljs-keyword\">import<\/span> FAISS\n<span class=\"hljs-keyword\">from<\/span> langchain.document_loaders <span class=\"hljs-keyword\">import<\/span> PyPDFLoader\n<span class=\"hljs-keyword\">from<\/span> langchain.chains <span class=\"hljs-keyword\">import<\/span> RetrievalQA\n<\/code><\/pre>\n<p>\u0622\u0646 \u06a9\u062f \u0645\u062d\u06cc\u0637 \u0634\u0645\u0627 \u0631\u0627 \u0645\u06cc \u0633\u0627\u0632\u062f \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<ul>\n<li>\n<p>\u0641\u0639\u0627\u0644 \u06a9\u0631\u062f\u0646 OpenAI Chat (ChatOpenAI)<\/p>\n<\/li>\n<li>\n<p>\u062f\u0631\u06a9 \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646 (OpenAIEmbeddings\u060c CharacterTextSplitter\u060c FAISS\u060c RetrievalQA)<\/p>\n<\/li>\n<li>\n<p>\u0645\u062f\u06cc\u0631\u06cc\u062a \u0639\u0627\u0645\u0644 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (\u0627\u0628\u0632\u0627\u0631)<\/p>\n<\/li>\n<\/ul>\n<p>\u0628\u0639\u062f\u060c a \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0648 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u062f <code>DocumentInput<\/code> \u06a9\u0644\u0627\u0633 \u0648 \u0645\u0642\u062f\u0627\u0631\u06cc \u0628\u0647 \u0646\u0627\u0645 <code>llm<\/code> \u06a9\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc GPT \u0622\u0634\u0646\u0627 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0647\u0631 \u062f\u0648 \u0628\u0639\u062f\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f:<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-class\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title\">DocumentInput<\/span>(<span class=\"hljs-params\">BaseModel<\/span>):<\/span>\n    question: str = Field()\nllm = ChatOpenAI(temperature=<span class=\"hljs-number\">0<\/span>, model=<span class=\"hljs-string\">\"gpt-3.5-turbo-0613\"<\/span>)\n<\/code><\/pre>\n<h3 id=\"heading-load-your-documents\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b3%d9%86%d8%a7%d8%af_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0627\u0633\u0646\u0627\u062f \u062e\u0648\u062f \u0631\u0627 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0639\u062f\u060c \u0686\u0646\u062f \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u062f. \u0633\u0647 <code>path<\/code> \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u062f\u0631 <code>files<\/code> \u0622\u0631\u0627\u06cc\u0647 \u062d\u0627\u0648\u06cc \u0646\u0634\u0627\u0646\u06cc\u200c\u0647\u0627\u06cc \u0627\u06cc\u0646\u062a\u0631\u0646\u062a\u06cc \u06af\u0632\u0627\u0631\u0634\u200c\u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0627\u062e\u06cc\u0631 \u0627\u0633\u062a \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0633\u0647 \u0634\u0631\u06a9\u062a \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631\/\u062e\u062f\u0645\u0627\u062a \u0641\u0646\u0627\u0648\u0631\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0635\u0627\u062f\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a: Alphabet (Google)\u060c Cisco \u0648 IBM.<\/p>\n<p>\u0645\u0627 \u0642\u0631\u0627\u0631 \u0627\u0633\u062a GPT \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0633\u0647 \u0634\u0631\u06a9\u062a \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0628\u0627 \u0647\u0645 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u062f \u0648 \u0647\u0645\u0647 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u0647\u0627 \u0631\u0627 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0631\u062f\u0633\u0631 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc PDF \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0645\u062d\u0644\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0686\u0646\u06cc\u0646 \u067e\u0631\u0648\u0646\u062f\u0647 \u0647\u0627\u06cc \u062d\u0642\u0648\u0642\u06cc \u0631\u0627 \u062f\u0631 \u0628\u062e\u0634 \u0631\u0648\u0627\u0628\u0637 \u0633\u0631\u0645\u0627\u06cc\u0647 \u06af\u0630\u0627\u0631 \u062f\u0631 \u0648\u0628 \u0633\u0627\u06cc\u062a \u06cc\u06a9 \u0634\u0631\u06a9\u062a \u0628\u06cc\u0627\u0628\u06cc\u062f.<\/p>\n<pre><code class=\"lang-python\">tools = []\nfiles = [\n    {\n        <span class=\"hljs-string\">\"name\"<\/span>: <span class=\"hljs-string\">\"alphabet-earnings\"<\/span>,\n        <span class=\"hljs-string\">\"path\"<\/span>: <span class=\"hljs-string\">\"https:\/\/abc.xyz\/investor\/static\/pdf\/1402Q1\\\n        _alphabet_earnings_release.pdf\"<\/span>,\n    },\n    {\n        <span class=\"hljs-string\">\"name\"<\/span>: <span class=\"hljs-string\">\"Cisco-earnings\"<\/span>,\n        <span class=\"hljs-string\">\"path\"<\/span>: <span class=\"hljs-string\">\"https:\/\/d18rn0p25nwr6d.cloudfront.net\/CIK-00\\\n            00858877\/5b3c172d-f7a3-4ecb-b141-03ff7af7e068.pdf\"<\/span>,\n    },\n    {\n        <span class=\"hljs-string\">\"name\"<\/span>: <span class=\"hljs-string\">\"IBM-earnings\"<\/span>,\n        <span class=\"hljs-string\">\"path\"<\/span>: <span class=\"hljs-string\">\"https:\/\/www.ibm.com\/investor\/att\/pdf\/IBM_\\\n            Annual_Report_2022.pdf\"<\/span>,\n    },\n    ]\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>for<\/code> \u062d\u0644\u0642\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0647\u0631 \u0645\u0642\u062f\u0627\u0631 \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f <code>files<\/code> \u0622\u0631\u0627\u06cc\u0647 \u0627\u06cc \u06a9\u0647 \u0647\u0645\u06cc\u0646 \u0627\u0644\u0627\u0646 \u0628\u0647\u062a \u0646\u0634\u0648\u0646 \u062f\u0627\u062f\u0645 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631\u060c \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u062f \u0634\u062f <code>PyPDFLoader<\/code> \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0641\u0627\u06cc\u0644 PDF \u0645\u0634\u062e\u0635 \u0634\u062f\u0647\u060c <code>loader<\/code> \u0648 <code>CharacterTextSplitter<\/code> \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0645\u062a\u0646 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0628\u0627\u0642\u06cc \u0645\u0627\u0646\u062f\u0647 \u0628\u0631\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0627\u0639\u0645\u0627\u0644 \u062c\u0627\u0633\u0627\u0632\u06cc \u0647\u0627. \u0633\u067e\u0633 \u0622\u0646 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f <code>DocumentInput<\/code> \u06a9\u0644\u0627\u0633\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645:<\/p>\n<pre><code class=\"lang-python\"><span class=\"hljs-keyword\">for<\/span> file <span class=\"hljs-keyword\">in<\/span> files:\n    loader = PyPDFLoader(file[<span class=\"hljs-string\">\"path\"<\/span>])\n    pages = loader.load_and_split()\n    text_splitter = CharacterTextSplitter(chunk_size=<span class=\"hljs-number\">1000<\/span>, \\\n        chunk_overlap=<span class=\"hljs-number\">0<\/span>)\n    docs = text_splitter.split_documents(pages)\n    embeddings = OpenAIEmbeddings()\n    retriever = FAISS.from_documents(docs, embeddings).as_retriever()\n<span class=\"hljs-comment\"># Wrap retrievers in a Tool<\/span>\ntools.append(\n    Tool(\n        args_schema=DocumentInput,\n        name=file[<span class=\"hljs-string\">\"name\"<\/span>],\n        func=RetrievalQA.from_chain_type(llm=llm, \\\n            retriever=retriever),\n    )\n)\n<\/code><\/pre>\n<h3 id=\"heading-prompt-your-model\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%af%d9%84_%d8%ae%d9%88%d8%af_%d8%b1%d8%a7_%d8%af%d8%b1%d8%ae%d9%88%d8%a7%d8%b3%d8%aa_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647\u060c \u0645\u0627 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0622\u0645\u0627\u062f\u0647 \u0647\u0633\u062a\u06cc\u0645 \u062a\u0627 \u06cc\u06a9 \u0639\u0627\u0645\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u062e\u0648\u062f \u062a\u063a\u0630\u06cc\u0647 \u06a9\u0646\u06cc\u0645 <code>input<\/code>.<\/p>\n<pre><code class=\"lang-python\">llm = ChatOpenAI(\n    temperature=<span class=\"hljs-number\">0<\/span>,\n    model=<span class=\"hljs-string\">\"gpt-3.5-turbo-0613\"<\/span>,\n)\nagent = initialize_agent(\n    agent=AgentType.OPENAI_FUNCTIONS,\n    tools=tools,\n    llm=llm,\n    verbose=<span class=\"hljs-literal\">True<\/span>,\n)\n    agent({<span class=\"hljs-string\">\"input\"<\/span>: <span class=\"hljs-string\">\"Based \u0631\u0648\u06cc these SEC filing documents, identify \\\n        which of these three companies - Alphabet, IBM, and Cisco \\\n        has the greatest short-term debt levels and which has the \\\n        highest research and development costs.\"<\/span>})\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u06a9\u0647 \u06af\u0631\u0641\u062a\u0645 \u06a9\u0648\u062a\u0627\u0647 \u0648 \u062f\u0642\u06cc\u0642 \u0628\u0648\u062f:<\/p>\n<blockquote>\n<p>&#8216;output&#8217;: &#8216;\u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0648\u06cc \u0627\u0633\u0646\u0627\u062f \u0628\u0627\u06cc\u06af\u0627\u0646\u06cc SEC:\\n\\n- \u0634\u0631\u06a9\u062a\u06cc \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u0633\u0637\u062d \u0628\u062f\u0647\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u0631\u0627 \u062f\u0627\u0631\u062f\u060c IBM \u0627\u0633\u062a\u060c \u0628\u0627 \u0633\u0637\u062d \u0628\u062f\u0647\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a 4760 \u0645\u06cc\u0644\u06cc\u0648\u0646 \u062f\u0644\u0627\u0631.\\n- \u0634\u0631\u06a9\u062a\u06cc \u06a9\u0647 \u0628\u0627\u0644\u0627\u062a\u0631\u06cc\u0646 \u0647\u0632\u06cc\u0646\u0647 \u062a\u062d\u0642\u06cc\u0642 \u0648 \u062a\u0648\u0633\u0639\u0647 \u0631\u0627 \u062f\u0627\u0631\u062f Alphabet \u0627\u0633\u062a\u060c \u0628\u0627 \u0647\u0632\u06cc\u0646\u0647 \u062a\u062d\u0642\u06cc\u0642 \u0648 \u062a\u0648\u0633\u0639\u0647 11468 \u0645\u06cc\u0644\u06cc\u0648\u0646 \u062f\u0644\u0627\u0631 \u0627\u0633\u062a.<\/p>\n<\/blockquote>\n<h3 id=\"heading-wrapping-up\"><span class=\"ez-toc-section\" id=\"%d8%a8%d8%b3%d8%aa%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0631\u062f\u06cc\u062f\u060c LangChain \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0686\u0646\u062f\u06cc\u0646 \u0627\u0628\u0632\u0627\u0631 \u0631\u0627 \u062f\u0631 \u0639\u0645\u0644\u06cc\u0627\u062a \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u06cc\u062f \u0648 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc \u0634\u062f\u0647 \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 \u0628\u0647 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0632\u0646\u062f\u0647 \u0648 \u062f\u0631\u062e\u0648\u0627\u0633\u062a \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u062a\u0631 LLM \u0631\u0627 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647\u200c\u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0642\u062f\u0631\u062a \u0645\u0648\u062a\u0648\u0631\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u062f\u0631 \u062f\u0627\u0631\u0627\u06cc\u06cc\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u06a9\u0627\u0631 \u0628\u0628\u0631\u06cc\u062f. \u062e\u0648\u062f\u062a\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f.<\/p>\n<p><em>\u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0631\u06af\u0631\u0641\u062a\u0647 \u0627\u0632<\/em> <em>\u06a9\u062a\u0627\u0628 \u0645\u0646\u06cc\u0646\u06af \u0645\u0646\u060c \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u06a9\u0627\u0645\u0644 \u0645\u0646\u0633\u0648\u062e \u0628\u0631\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f<\/em><em>. \u0627\u0645\u0627 \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062e\u0648\u0628\u06cc \u0647\u0627\u06cc \u0641\u0646\u0627\u0648\u0631\u06cc \u0631\u0627 \u062f\u0631 \u0622\u0646 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f<\/em> <em>\u0648\u0628 \u0633\u0627\u06cc\u062a \u0645\u0646<\/em><em>.<\/em><\/p>\n<\/section>\n<p><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-11-07 00:35:12<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;18279&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 LangChain \u0648 GPT \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0686\u0646\u062f\u06cc\u0646 \u0633\u0646\u062f&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 3<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u062f\u0631 \u062d\u062f\u0648\u062f \u06cc\u06a9 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647\u060c \u062f\u0646\u06cc\u0627\u06cc \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u060c \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627 \u0648 \u0641\u0631\u0622\u06cc\u0646\u062f\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0645\u0628\u062a\u06a9\u0631\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646 \u0628\u0632\u0631\u06af \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f \u0645\u0646\u0641\u062c\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a. \u06cc\u06a9\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u067e\u0631\u0648\u0698\u0647 LangChain \u0627\u0633\u062a. \u0647\u062f\u0641 \u06a9\u0644\u06cc \u0634\u0627\u0645\u0644 \u0627\u0631\u0627\u0626\u0647 \u0627\u062f\u063a\u0627\u0645 \u0622\u0633\u0627\u0646 \u0628\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 LLM \u0627\u0633\u062a. \u0627\u0645\u0627 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 LangChain \u0646\u06cc\u0632 \u0686\u0646\u06cc\u0646 \u0627\u0633\u062a host [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":18280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,1686],"tags":[5590,5592,5591,1958,1776,1919,1786,1916,1814,2361,2362,2459,2123,5593,2098,1745],"class_list":["post-18279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-ai","tag-5590","tag-gpt","tag-langchain","tag-1958","tag-1776","tag----python","tag-1786","tag-1916","tag-1814","tag-2361","tag-2362","tag-2459","tag-2123","tag-5593","tag-2098","tag-1745"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/18279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=18279"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/18279\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/18280"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=18279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=18279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=18279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}