KI-Pipeline zur Digitalisierung historischer Museumsinventarbücher: Transkribus-HTR → 7-stufige LLM-Pipeline in n8n → GND-validierter Datensatz in SeaTable. Self-hosted, open source, ~10 Ct/Zeile.
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Jul 7, 2026 - Python
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seatable
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生产交付协同 WorkBuddy 技能（解耦版）：开箱零配置，默认本地 CSV 存储，可选接入 SeaTable/PartDB。覆盖立项→计划→采购→执行→库存→发货→维修→分析全流程。
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Aug 13, 2026 - Python
Demonstration of OpenAI API Integration within Seatable Cloud
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Nov 27, 2023 - Python
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