{"id":54072,"date":"2026-10-07T09:59:40","date_gmt":"2026-10-07T07:59:40","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/?p=54072"},"modified":"2026-10-15T21:00:51","modified_gmt":"2026-10-15T19:00:51","slug":"context-graph-token-costs-ai-agents-porsche-reply","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/en\/2026\/10\/07\/context-graph-token-costs-ai-agents-porsche-reply\/","title":{"rendered":"Reply speeds up Porsche troubleshooting with a context graph"},"content":{"rendered":"<p><strong>After a service provider change, Porsche\u2019s new operations engineers had just a few weeks to understand manufacturing IT dating back around 25 years, according to Reply. A context graph now links code, configuration and relationships between systems.<\/strong><\/p>\n<h2>Key takeaways<\/h2>\n<div style=\"background:#f8fbfd;border:1px solid rgba(11,183,253,0.28);border-radius:8px;padding:22px 26px;margin:16px 0 34px;box-shadow:0 1px 0 rgba(11,183,253,0.08),0 2px 8px rgba(0,0,0,0.03);\">\n<ul style=\"margin:0;padding-left:20px;line-height:1.75;color:#1a2733;\">\n<li style=\"margin-bottom:10px;\"><strong>Reply describes a service provider change in Porsche\u2019s manufacturing IT with just a few weeks for knowledge transfer.<\/strong><\/li>\n<li style=\"margin-bottom:10px;\"><strong>A context graph links code and configurations with relationships between systems and processes.<\/strong><\/li>\n<li style=\"margin-bottom:10px;\"><strong>The project presentation reports 30 to 40 percent less triage time and around 40 percent less time to resolution.<\/strong><\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-bottom:1px solid #e5e5e5;padding:10px 0;\"><span style=\"font-family:'SF Mono','Monaco','Consolas',monospace;color:#0879aa;font-weight:700;text-transform:uppercase;font-size:0.72em;letter-spacing:0.14em;margin-right:14px;\">Related:<\/span><a style=\"color:#333;text-decoration:underline;\" href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/02\/vector-databases-rag-pinecone-weaviate-qdrant-pgvector-comparison\/\">Vector databases for RAG pipelines compared<\/a>\u00a0\u00a0<span style=\"color:#ccc;\">\/<\/span>\u00a0\u00a0AWS AgentCore brings Memory to GovCloud<\/p>\n<h2>A few weeks to learn legacy manufacturing systems<\/h2>\n<p>Maurits De Roover of Reply presented the project at <a href=\"https:\/\/events.neo4j.com\/graphtalkmanufacturingde\" target=\"_blank\" rel=\"noopener noreferrer\">Neo4j GraphTalk Munich<\/a> on 2 July 2026, under the title \u201cScaling Context Graphs: From architecture to real-world impact\u201d. His publicly available <a href=\"https:\/\/www.youtube.com\/watch?v=MEgkwjR-Xr4\" target=\"_blank\" rel=\"noopener noreferrer\">talk<\/a> describes Porsche\u2019s manufacturing IT from the contracted service provider\u2019s perspective.<\/p>\n<p>According to De Roover, the new operations engineers had just a few weeks to get up to speed after a service provider change. Some systems were around 25 years old. Operational knowledge was scattered across individuals, code and documentation. Some documents were outdated or incorrect.<\/p>\n<p>The task therefore went beyond finding a relevant passage. During an incident, engineers needed to understand which configuration calls which code and which other systems depend on it. The talk mentions production, logistics and quality systems, among others. Understanding how these parts interact was crucial to troubleshooting.<\/p>\n<h2>Similar passages did not yet add up to a process<\/h2>\n<p>According to De Roover, the first approach used embeddings. These numerical representations enable searches for information with similar meanings. In this project, however, they returned isolated matches or similarities that could belong to the wrong context. Engineers still had to piece together the actual process chain themselves.<\/p>\n<p>Reply therefore added a graph to the search. It stores information as nodes and relationships as connections. A context graph can, for example, link a configuration to the code it calls and that code\u2019s dependencies. Semantic search remains the starting point.<\/p>\n<p>For specific questions, the system uses prepared queries in Cypher, Neo4j\u2019s query language. These are intended to let the agent retrieve information along the relevant relationships. In the case described, the aim is to identify the next useful investigation step and help engineers find the systems involved.<\/p>\n<h2>Data ingestion remains an operational task<\/h2>\n<p>The architecture separates source ingestion, the graph and the agents accessing it. Reply describes dedicated processing paths for different programming languages and frameworks. Quality checks are intended to keep incorrect structures from entering the knowledge base unchecked. The talk mentions formal rules using SHACL, among other measures.<\/p>\n<p>During operations, an engineer can submit an error message through the interface. The system finds the context and supports further investigation. If this reveals outdated documentation, the engineer can correct it. Feedback from day-to-day work thus feeds back into the knowledge base.<\/p>\n<p>Code changes must also be reflected. De Roover describes rebuilding an affected subgraph, comparing it with the previous version and replacing it. The rest of the graph remains intact. Without current, validated sources, the assistance remains imprecise.<\/p>\n<h2>Reply reports faster investigation and resolution<\/h2>\n<p>Reply\u2019s results slides report a 30 to 40 percent reduction in triage time: the time spent initially investigating and classifying an incident. During the Q&amp;A, De Roover puts the reduction in time to resolution at around 40 percent. These two metrics describe different stages of the work.<\/p>\n<p>The presentation also reports around 3,000 tokens per request against a planned budget of 5,000 tokens. Tokens are the units in which a language model processes text. The figure describes consumption per request. It specifies neither total costs nor the graph\u2019s contribution to them.<\/p>\n<p>De Roover also reports that the questions in a prepared test set were answered correctly. Successful answers to known test questions do not guarantee error-free performance during future incidents.<\/p>\n<h2>What other businesses can apply<\/h2>\n<p>The transferable element is less the software than the work on relationships. Maintaining configurations, code and systems as connected nodes gives engineers context during an incident rather than isolated matches. Applying this approach elsewhere requires mapping each business\u2019s own relationships too.<\/p>\n<p>The cost is maintaining the knowledge base. For changes to code sources, Reply describes a process that rebuilds, checks and then replaces the affected subgraph. Engineers correct outdated documentation directly during troubleshooting. In this project, engineers primarily lacked an overview of interconnected systems. The graph made those relationships accessible for troubleshooting.<\/p>\n<p>Whether building such a system pays off elsewhere depends on the investigation time saved and the cost of building and maintaining it.<\/p>\n<h2>Frequently asked questions<\/h2>\n<details style=\"margin:12px 0;padding:14px 18px;border:1px solid #d8dfe5;border-radius:6px;\">\n<summary style=\"font-weight:700;cursor:pointer;\">Does the graph replace semantic search?<\/summary>\n<p>In this project, it complements semantic search. Embeddings provide a starting point, while graph queries reveal relationships between the information found.<\/p>\n<\/details>\n<details style=\"margin:12px 0;padding:14px 18px;border:1px solid #d8dfe5;border-radius:6px;\">\n<summary style=\"font-weight:700;cursor:pointer;\">What does a context graph need to stay useful?<\/summary>\n<p>The knowledge base needs current sources and validated relationships. When code sources change, Reply rebuilds the affected subgraph and checks it before replacement. If the system identifies outdated documentation, engineers can correct it.<\/p>\n<\/details>\n<details style=\"margin:12px 0;padding:14px 18px;border:1px solid #d8dfe5;border-radius:6px;\">\n<summary style=\"font-weight:700;cursor:pointer;\">Do 3,000 tokens prove that overall costs are lower?<\/summary>\n<p>No. Establishing that would require model prices, request volumes and the cost of building and maintaining the knowledge base, among other factors.<\/p>\n<\/details>\n<h2>Editor&#8217;s Picks<\/h2>\n<ul style=\"list-style:none;margin:0 0 8px;padding:0;\">\n<li style=\"padding:10px 0;\"><a style=\"color:#1a1a1a;text-decoration:none;\" href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/07\/08\/for-the-first-time-you-can-watch-an-ai-think\/\">For the first time, you can watch an AI think<\/a><\/li>\n<\/ul>\n<p style=\"margin:44px 0 12px;font-size:0.72em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">More from the MBF Media Network<\/p>\n<div style=\"padding:14px 18px;border-left:3px solid #202528;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#202528;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">mybusinessfuture<\/div>\n<p><a href=\"https:\/\/mybusinessfuture.com\/en\/industry-august-large-orders-fall-core-business-holds-up\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Industry in August: Large orders fall away, core business holds up<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #d65663;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#d65663;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">digital-chiefs<\/div>\n<p><a href=\"https:\/\/www.digital-chiefs.de\/en\/google-pays-publishers-for-ai-answers\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Google pays publishers for AI answers<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #69d8ed;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#69d8ed;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p><a href=\"https:\/\/www.securitytoday.de\/en\/2026\/10\/06\/cyber-insurance-evidence-policy-at-risk\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Cyber insurance: lack of evidence puts the policy at risk<\/a><\/p>\n<\/div>\n<p style=\"text-align:right;color:#868e96;font-size:0.75em;margin-top:40px;\"><em>Image source: AI-generated (October 2026)<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"Reply reports a 30 to 40 percent reduction in initial incident investigation time. The graph requires ongoing maintenance of its sources.","protected":false},"author":31,"featured_media":53277,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2026\/10\/kontextgraph-tokenkosten-ki-agenten-porsche-reply-cover-hero.jpg","_yoast_wpseo_opengraph-image-id":53277,"_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2026\/10\/kontextgraph-tokenkosten-ki-agenten-porsche-reply-cover-hero.jpg","_yoast_wpseo_twitter-image-id":53277,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","_evm_slot_owner":"","_evm_translation_lang":"","featured_post":0,"featured_post_sortierung":0,"_wp_old_slug":[],"footnotes":""},"categories":[744],"tags":[],"industry":[],"class_list":["post-54072","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kuenstliche-intelligenz"],"evm_reading_time_minutes":6,"wpml_language":"en","wpml_translation_of":51665,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Reply cuts Porsche troubleshooting time with a context graph<\/title>\n<meta name=\"description\" content=\"Reply shows how a context graph unlocks Porsche\u2019s manufacturing knowledge. 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