[{"data":1,"prerenderedAt":352},["ShallowReactive",2],{"blog-tag-en-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":71,"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 product catalog","rag pim data","llm product data","product catalog chatbot","akeneo rag","pimcore ai search","rag structured data","metadata filtering rag","product attributes embeddings","b2b product assistant","etim classification 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 over product catalogues: turning PIM data into answers that hold","Product data is structured, so chunking it like PDFs fails. How to serialize PIM attributes, route spec questions to filters and keep answers exact.","RAG over product catalogues: a speech bubble with a product card rises from an open product catalogue.",{"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":71,"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 data quality","ETIM classification LLM","eCl@ss classification automation","product data normalization","duplicate detection product data","product data deduplication embeddings","product data stewardship queue","ETIM vs eCl@ss","attribute normalization units","golden set product data evaluation",[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 data quality with LLMs: ETIM classification, normalization and dedup","How to raise PIM data quality with LLMs: ETIM and ECLASS classification, unit and language normalization, duplicate detection and a stewardship queue.","PIM data quality with LLMs: a table of rows with a magnifying glass over the one incomplete row.",{"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":71,"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],"supplier data onboarding","LLM price list extraction","supplier catalog import PIM","BMEcat import","GTIN validation","supplier product data automation","PDF price list extraction","supplier data quality scorecard","cost per row LLM extraction","supplier onboarding automation 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],"Supplier data onboarding with LLMs: price lists, PDFs and certificates","How to onboard supplier product data with LLMs: deterministic BMEcat and Excel imports, PDF price list extraction, GTIN validation and supplier scorecards.","Supplier data onboarding with LLMs: mixed sheets pass through a funnel and come out as identical cards.",{"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":71,"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],"digital product passport data extraction","digital product passport","ESPR delegated act 2026","battery passport 18 February 2027","DPP registry","GS1 Digital Link QR code","product compliance data LLM","supplier declaration extraction","recycled content declaration","DPP service provider",[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],"Digital Product Passports with LLMs: extracting and assembling ESPR data","Where the Digital Product Passport stands in October 2026, which data a DPP record needs, and how LLMs extract supplier evidence without inventing values.","Digital Product Passports with LLMs: a product box with a code tag next to an open passport booklet.",{"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":71,"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 product data enrichment","ai product description generator pim","attribute extraction from datasheets llm","pimcore ai data enrichment","product data quality llm pipeline","structured outputs json schema extraction","human review queue product data","golden dataset field accuracy evaluation","cost per sku llm enrichment",[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 product data enrichment: attributes, evidence and review","Grounded LLM enrichment for PIM attributes and copy: source spans, schema-checked output, confidence routing, provenance and cost per 1,000 SKUs.","LLM product data enrichment: a plain product card becomes a filled card with tags.",1793451238191]