[{"data":1,"prerenderedAt":352},["ShallowReactive",2],{"blog-tag-hu-pim":3},[4,77,150,218,284],{"slug":5,"published":6,"minutes":7,"category":8,"tags":9,"tagPages":15,"keywords":18,"about":30,"sources":40,"cover":67,"og":68,"expertise":69,"locales":70,"lang":73,"title":74,"description":75,"coverAlt":76},"rag-product-catalog-pim-data","2026-10-17",10,"rag",[10,11,12,13,14],"RAG","PIM","Product data","B2B e-commerce","Metadata filtering",[8,16,17],"pim","b2b-e-commerce",[19,20,21,22,23,24,25,26,27,28,29],"rag termékkatalógus","rag pim adatok","llm termékadatok","termékkatalógus chatbot","akeneo rag","pimcore ai keresés","rag strukturált adatok","metaadat szűrés rag","termékattribútumok beágyazások","b2b termékasszisztens","etim osztályozás ai",[31,34,37],{"name":32,"url":33},"Product information management","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FProduct_information_management",{"name":35,"url":36},"Retrieval-augmented generation","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FRetrieval-augmented_generation",{"name":38,"url":39},"ETIM (standard)","https:\u002F\u002Fwww.etim-international.com\u002Fclassification\u002F",[41,44,47,50,52,55,58,61,64],{"title":42,"url":43},"Akeneo API: Products, product values, metric values and product models","https:\u002F\u002Fapi.akeneo.com\u002Fconcepts\u002Fproducts.html",{"title":45,"url":46},"Akeneo Help Center: What about products with variants?","https:\u002F\u002Fhelp.akeneo.com\u002Fserenity-take-the-power-over-your-products\u002Fserenity-what-about-products-with-variants",{"title":48,"url":49},"Pimcore documentation: Classification Store","https:\u002F\u002Fdocs.pimcore.com\u002Fplatform\u002FPimcore\u002FObjects\u002FObject_Classes\u002FData_Types\u002FClassification_Store\u002F",{"title":51,"url":39},"ETIM International: Classification",{"title":53,"url":54},"ETIM International: ETIM releases and the IXF format","https:\u002F\u002Fetim-international.com\u002F?p=754",{"title":56,"url":57},"Reddy et al.: Shopping Queries Dataset, a large-scale ESCI benchmark for improving product search (2022)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2206.06588",{"title":59,"url":60},"Amazon Science: esci-data repository","https:\u002F\u002Fgithub.com\u002Famazon-science\u002Fesci-data",{"title":62,"url":63},"Qdrant documentation: Filtering","https:\u002F\u002Fqdrant.tech\u002Fdocumentation\u002Fconcepts\u002Ffiltering\u002F",{"title":65,"url":66},"Sui et al.: Table Meets LLM, can large language models understand structured table data? (WSDM 2024)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2305.13062","\u002Fimages\u002Fblog\u002Frag-product-catalog-pim-data\u002Fcover.webp","\u002Fimages\u002Fblog\u002Frag-product-catalog-pim-data\u002Fog.jpg","b2b-ecommerce-developer",[71,72,73],"en","de","hu","RAG termékkatalógusra: PIM-adatokból megbízható válaszok","RAG-hoz: a PDF-szerű chunkolás elbukik, mert a termékadat strukturált. Sorosítsd a PIM-attribútumokat, és szűrőkre irányítsd a specifikációs kérdéseket.","RAG termékkatalógusra: nyitott katalógusból termékkártyás szövegbuborék emelkedik fel.",{"slug":78,"published":79,"updated":6,"minutes":80,"category":81,"tags":82,"tagPages":87,"keywords":88,"about":99,"sources":107,"cover":144,"og":145,"expertise":69,"locales":146,"lang":73,"title":147,"description":148,"coverAlt":149},"pim-data-quality-llm","2026-10-12",8,"web",[11,83,84,85,86],"Data quality","ETIM","ECLASS","Deduplication",[16],[89,90,91,92,93,94,95,96,97,98],"pim adatminőség","etim osztályozás llm","eclass osztályozás automatizálás","termékadat normalizálás","duplikátum keresés termékadatok","termékadat deduplikáció beágyazásokkal","termékadat gondozási sor","etim vs eclass","attribútum normalizálás mértékegységek","golden set termékadat értékelés",[100,101,104],{"name":32,"url":33},{"name":102,"url":103},"Record linkage","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FRecord_linkage",{"name":105,"url":106},"ETIM classification","https:\u002F\u002Fwww.etim-international.com\u002F",[108,111,114,117,120,123,126,129,132,135,138,141],{"title":109,"url":110},"ETIM International: new release ETIM 10.0 (10 Dec 2024)","https:\u002F\u002Fwww.etim-international.com\u002Fnew-release-etim-10-0-available\u002F",{"title":112,"url":113},"ETIM International: model information","https:\u002F\u002Fwww.etim-international.com\u002Fclassification\u002Fmodel-information\u002F",{"title":115,"url":116},"ETIM International: licence information","https:\u002F\u002Fwww.etim-international.com\u002Fclassification\u002Flicense-info\u002F",{"title":118,"url":119},"Ketenstandaard: ETIM 11.0 is coming (3 Feb 2026)","https:\u002F\u002Fketenstandaard.nl\u002Fnieuws\u002Fetim-11-0-komt-eraan-tijd-om-voor-te-sorteren\u002F",{"title":121,"url":122},"ECLASS: releases (Release 16.0, 28 Nov 2025)","https:\u002F\u002Feclass.eu\u002Fen\u002Feclass-standard\u002Freleases",{"title":124,"url":125},"ECLASS: language versions","https:\u002F\u002Feclass.eu\u002Fen\u002Feclass-standard\u002Flicenses\u002Flanguage-versions",{"title":127,"url":128},"Peeters and Bizer: Using ChatGPT for entity matching (ADBIS 2023)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2305.03423",{"title":130,"url":131},"Peeters et al.: WDC Products, a multi-dimensional entity matching benchmark (EDBT 2024)","https:\u002F\u002Farxiv.org\u002Fhtml\u002F2301.09521v2",{"title":133,"url":134},"Splink: probabilistic record linkage","https:\u002F\u002Fmoj-analytical-services.github.io\u002Fsplink\u002F",{"title":136,"url":137},"Pimcore: Data Quality Management","https:\u002F\u002Fdocs.pimcore.com\u002Fplatform\u002FData_Quality_Management\u002F",{"title":139,"url":140},"Akeneo: understand data quality","https:\u002F\u002Fhelp.akeneo.com\u002Fserenity-understand-data-quality",{"title":142,"url":143},"SQLI: commerce search-first strategy (vendor case study)","https:\u002F\u002Fwww.sqli.com\u002Fint-en\u002Finsights\u002Fcommerce-search-first-strategy-impact","\u002Fimages\u002Fblog\u002Fpim-data-quality-llm\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fpim-data-quality-llm\u002Fog.jpg",[71,72,73],"PIM adatminőség LLM-mel: ETIM osztályozás, normalizálás és duplikátumszűrés","PIM adatminőség javítása LLM-mel: ETIM és ECLASS osztályozás, mértékegység- és nyelvi normalizálás, duplikátumkeresés és adatgondozási sor.","PIM adatminőség LLM-mel: sorokból álló táblázat, nagyító a hiányos sor fölött.",{"slug":151,"published":79,"updated":6,"minutes":152,"category":81,"tags":153,"tagPages":158,"keywords":160,"about":171,"sources":178,"cover":212,"og":213,"expertise":69,"locales":214,"lang":73,"title":215,"description":216,"coverAlt":217},"supplier-data-onboarding-llm",9,[154,11,155,156,157],"Supplier onboarding","BMEcat","Document AI","GTIN",[16,159],"document-ai",[161,162,163,164,165,166,167,168,169,170],"beszállítói adatok átvétele","llm árlista kinyerés","beszállítói katalógus import pim","bmecat import","gtin validálás","beszállítói termékadat automatizálás","pdf árlista kinyerés","beszállítói adatminőségi mutatók","költség soronként llm kinyerés","beszállítói onboarding automatizálás b2b",[172,173,176],{"name":32,"url":33},{"name":174,"url":175},"Global Trade Item Number","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGlobal_Trade_Item_Number",{"name":155,"url":177},"https:\u002F\u002Fwww.bme.de\u002Fservices\u002Fbmecat\u002Fdownloads_BMEcat",[179,182,184,187,188,191,194,197,200,203,206,209],{"title":180,"url":181},"GS1: Everyone needs better product data (Global Data Model)","https:\u002F\u002Fwww.gs1.org\u002Fstandards\u002Fgs1-global-data-model\u002Feveryone-needs-better-product-data",{"title":183,"url":177},"BME: BMEcat downloads (version 2005.2)",{"title":185,"url":186},"ETIM International: exchange format (ETIM xChange)","https:\u002F\u002Fwww.etim-international.com\u002Fclassification\u002Fexchange-format\u002F",{"title":112,"url":113},{"title":189,"url":190},"GS1: check digit calculator","https:\u002F\u002Fwww.gs1.org\u002Fservices\u002Fcheck-digit-calculator",{"title":192,"url":193},"Pimcore: Data Importer","https:\u002F\u002Fdocs.pimcore.com\u002Fplatform\u002FData_Importer\u002F",{"title":195,"url":196},"Akeneo: Supplier Data Manager","https:\u002F\u002Fhelp.akeneo.com\u002Fen_US\u002Fsupplier-data-manager",{"title":198,"url":199},"Amazon Textract pricing","https:\u002F\u002Faws.amazon.com\u002Ftextract\u002Fpricing\u002F",{"title":201,"url":202},"Anthropic: Claude pricing","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fpricing",{"title":204,"url":205},"GS1 US: data quality","https:\u002F\u002Fwww.gs1us.org\u002Fservices\u002Fdata-quality",{"title":207,"url":208},"GS1 US: National Data Quality Program","https:\u002F\u002Fwww.gs1us.org\u002Fservices\u002Fdata-quality\u002Fnational-data-quality-program",{"title":210,"url":211},"Unite: catalogue format BMEcat 1.2","https:\u002F\u002Funite.eu\u002Fen-gb\u002Fsupport\u002Fcatalogue-format-bmecat-1-2-xml","\u002Fimages\u002Fblog\u002Fsupplier-data-onboarding-llm\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fsupplier-data-onboarding-llm\u002Fog.jpg",[71,72,73],"Beszállítói adatok átvétele LLM-mel: árlisták, PDF-ek és tanúsítványok","Beszállítói termékadatok átvétele LLM-mel: determinisztikus BMEcat- és Excel-import, PDF-árlisták kinyerése, GTIN-ellenőrzés és beszállítói értékelőlap.","Beszállítói adatok átvétele LLM-mel: vegyes lapok mennek át egy tölcséren, és egyforma kártyákként jönnek ki.",{"slug":219,"published":220,"updated":6,"minutes":152,"category":81,"tags":221,"tagPages":225,"keywords":226,"about":237,"sources":247,"cover":278,"og":279,"expertise":69,"locales":280,"lang":73,"title":281,"description":282,"coverAlt":283},"digital-product-passport-llm","2026-10-09",[222,223,224,156,11],"Digital Product Passport","ESPR","Compliance data",[159,16],[227,228,229,230,231,232,233,234,235,236],"digitális termékútlevél adatkinyerés","digitális termékútlevél","espr delegált rendelet 2026","akkumulátor útlevél 2027 február 18","dpp nyilvántartás","gs1 digital link qr kód","termék megfelelőségi adatok llm","beszállítói nyilatkozat kinyerése","újrahasznosított tartalom nyilatkozat","dpp szolgáltató",[238,241,244],{"name":239,"url":240},"Digital product passport","https:\u002F\u002Fsingle-market-economy.ec.europa.eu\u002Fsingle-market\u002Fdigital-product-passport_en",{"name":242,"url":243},"Ecodesign for Sustainable Products Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002FHTML\u002F?uri=CELEX:32024R1781",{"name":245,"url":246},"GS1 Digital Link","https:\u002F\u002Fwww.gs1.org\u002Fstandards\u002Fgs1-digital-link",[248,250,252,255,258,261,264,267,269,272,275],{"title":249,"url":243},"Regulation (EU) 2024\u002F1781 (ESPR), EUR-Lex",{"title":251,"url":240},"European Commission: Digital Product Passport",{"title":253,"url":254},"Commission Implementing Decision (EU) 2026\u002F1736 on harmonised DPP standards","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002FHTML\u002F?uri=CELEX:32026D1736",{"title":256,"url":257},"Commission Implementing Regulation (EU) 2026\u002F1778 on the DPP registry","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002FHTML\u002F?uri=CELEX:32026R1778",{"title":259,"url":260},"Regulation (EU) 2023\u002F1542 (Batteries), EUR-Lex","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002FHTML\u002F?uri=CELEX:32023R1542",{"title":262,"url":263},"Commission working plan COM(2025) 187 under ESPR","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002FHTML\u002F?uri=CELEX:52025DC0187",{"title":265,"url":266},"European Commission: CBAM certificate price","https:\u002F\u002Ftaxation-customs.ec.europa.eu\u002Fcarbon-border-adjustment-mechanism\u002Fprice-cbam-certificates_en",{"title":268,"url":246},"GS1: Digital Link standard",{"title":270,"url":271},"Publications Office: SCIP database information requirements","https:\u002F\u002Fop.europa.eu\u002Fen\u002Fpublication-detail\u002F-\u002Fpublication\u002F887091cb-0938-11ec-b5d3-01aa75ed71a1\u002Flanguage-en",{"title":273,"url":274},"CIRPASS-2 project","https:\u002F\u002Fcirpass2.eu\u002F",{"title":276,"url":277},"Vectara hallucination leaderboard","https:\u002F\u002Fgithub.com\u002Fvectara\u002Fhallucination-leaderboard\u002F","\u002Fimages\u002Fblog\u002Fdigital-product-passport-llm\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fdigital-product-passport-llm\u002Fog.jpg",[71,72,73],"Digitális termékútlevél LLM-mel: ESPR-adatok kinyerése és összeállítása","Hol tart a digitális termékútlevél 2026 októberében, milyen adat kell egy DPP-rekordhoz, és hogyan nyerik ki az LLM-ek a beszállítói bizonyítékokat.","Digitális termékútlevél LLM-mel: termékdoboz kódcímkével egy nyitott útlevélfüzet mellett.",{"slug":285,"published":286,"updated":6,"minutes":287,"category":81,"tags":288,"tagPages":293,"keywords":294,"about":304,"sources":312,"cover":346,"og":347,"expertise":69,"locales":348,"lang":73,"title":349,"description":350,"coverAlt":351},"llm-product-data-enrichment","2026-10-06",12,[289,11,290,291,292],"Product data enrichment","Structured outputs","Human review","Provenance",[16],[295,296,297,298,299,300,301,302,303],"llm termékadat gazdagítás","ai termékleírás generátor pim","attribútum kinyerés adatlapokból llm-mel","pimcore ai adatgazdagítás","termékadat minőség llm pipeline","strukturált kimenet json séma kinyerés","emberi ellenőrző sor termékadat","golden dataset mezőpontosság értékelés","költség sku-nként llm gazdagítás",[305,306,309],{"name":32,"url":33},{"name":307,"url":308},"Large language model","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model",{"name":310,"url":311},"Data provenance","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FData_provenance",[313,316,319,322,325,328,331,334,337,340,343],{"title":314,"url":315},"Google LangExtract, GitHub README (v1.6.0)","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Flangextract",{"title":317,"url":318},"Anthropic: reduce hallucinations","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Ftest-and-evaluate\u002Fstrengthen-guardrails\u002Freduce-hallucinations",{"title":320,"url":321},"Microsoft Learn: Azure OpenAI structured outputs (updated Aug 2026)","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fopenai\u002Fhow-to\u002Fstructured-outputs",{"title":323,"url":324},"DocILE: document information localization and extraction (ICDAR 2023)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.05658",{"title":326,"url":327},"Pimcore docs: Datahub","https:\u002F\u002Fdocs.pimcore.com\u002Fplatform\u002FDatahub\u002F",{"title":329,"url":330},"Pimcore docs: Copilot","https:\u002F\u002Fdocs.pimcore.com\u002Fplatform\u002FCopilot\u002F",{"title":332,"url":333},"Google Search Central: spam policies","https:\u002F\u002Fdevelopers.google.com\u002Fsearch\u002Fdocs\u002Fessentials\u002Fspam-policies",{"title":335,"url":336},"EU AI Act, Article 50 (artificialintelligenceact.eu)","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F",{"title":338,"url":339},"EUR-Lex: Directive (EU) 2024\u002F825 amending the Unfair Commercial Practices Directive","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX%3A32024L0825",{"title":341,"url":342},"Google AI for Developers: Gemini API pricing","https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\u002Fpricing",{"title":344,"url":345},"OpenRouter: models API (rates as listed, Oct 2026)","https:\u002F\u002Fopenrouter.ai\u002Fapi\u002Fv1\u002Fmodels","\u002Fimages\u002Fblog\u002Fllm-product-data-enrichment\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fllm-product-data-enrichment\u002Fog.jpg",[71,72,73],"LLM-es termékadat-gazdagítás: attribútumok, bizonyítékok és felülvizsgálat","Megalapozott LLM-es PIM-gazdagítás: szövegrészletek, sémaellenőrzés, megbízhatósági útválasztás, eredetmegjelölés és költség 1000 SKU-ra.","LLM-es termékadat-gazdagítás: üres termékkártyából kitöltött, címkés kártya lesz.",1793451238210]