{"id":6653,"date":"2025-09-07T07:03:05","date_gmt":"2025-09-07T07:03:05","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/07\/extracting-structured-data-with-langextract-a-deep-dive-into-llm-orchestrated-workflows\/"},"modified":"2025-09-07T07:03:05","modified_gmt":"2025-09-07T07:03:05","slug":"extracting-structured-data-with-langextract-a-deep-dive-into-llm-orchestrated-workflows","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/07\/extracting-structured-data-with-langextract-a-deep-dive-into-llm-orchestrated-workflows\/","title":{"rendered":"Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows"},"content":{"rendered":"<p>    Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A guide to building modular workflows for structured intelligence<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/extracting-structured-data-with-langextract-a-deep-dive-into-llm-orchestrated-workflows\/\">Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Subha Ganapathi<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/extracting-structured-data-with-langextract-a-deep-dive-into-llm-orchestrated-workflows\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows A guide to building modular workflows for structured intelligence The post Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows appeared first on Towards Data Science. Subha Ganapathi Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,67,3715,71,1930,1771,3534],"tags":[84,345,3036],"class_list":["post-6653","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-deep-dives","category-langextract","category-large-language-models","category-llm-applications","category-prompt-engineering","category-structured-data","tag-data","tag-structured","tag-workflows"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6653"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=6653"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6653\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}