Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
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Updated
Aug 29, 2025 - Python
Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
⚡ AI-powered content intelligence with structured data extraction. Self-improving prompts, customizable templates, and feedback learning. Supports PDFs, multiple AI providers.
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LLM Wiki AI agent with optional local inference, knowledge graph, and wiki-style KB tools. Runs in Docker. Can run fully offline with Ollama.
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新时代编程实践产品-智能标注平台,助力新时代数据提取模式,借助Mineru 和 langextract 能力,做到大模型智能标注高亮识别多模态文本数据转换为PDF文本数据,提取专有数据。
🚀 Automatización inteligente que transforma mensajes caóticos de clientes en acciones estructuradas. Utiliza Python (Flask), Google LangExtract y n8n para diseccionar textos con múltiples intenciones, categorizarlos mediante IA y enrutarlos automáticamente a departamentos específicos (Ventas, Soporte, Administración). Ideal para eliminar cuellos d
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langchain+langextract gemini-api breakdown of Project2025 text by Umberto Eco's fascist taxonomy + entities
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Contains all my python things...
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