{"id":5078,"date":"2025-07-04T07:02:25","date_gmt":"2025-07-04T07:02:25","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/07\/04\/graphrag-in-action\/"},"modified":"2025-07-04T07:02:25","modified_gmt":"2025-07-04T07:02:25","slug":"graphrag-in-action","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/07\/04\/graphrag-in-action\/","title":{"rendered":"GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations"},"content":{"rendered":"<p>    GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations<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>This blog post provides a hands-on guide for AI engineers and developers on how to build an initial KYC agent prototype with the OpenAI Agents SDK.\u00a0We&#8217;ll explore how to equip our agent with a suite of tools (including MCP Server tools)  to uncover and investigate potential fraud patterns.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/graphrag-in-action\/\">GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations<\/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    Ed Sandoval<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/graphrag-in-action\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations This blog post provides a hands-on guide for AI engineers and developers on how to build an initial KYC agent prototype with the OpenAI Agents SDK.\u00a0We&#8217;ll explore how to equip our agent with a suite of tools (including MCP Server tools) to uncover and investigate potential [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[678,62,69,67,2258,2515,2259,800],"tags":[1960,448,3136],"class_list":["post-5078","post","type-post","status-publish","format-standard","hentry","category-agentic-ai","category-aimldsaimlds","category-artificial-intelligence","category-deep-dives","category-graphrag","category-llm-agents","category-neo4j","category-openai","tag-action","tag-agent","tag-graphrag"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5078"}],"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=5078"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5078\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=5078"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=5078"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=5078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}