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
Interactive demo of a SOTA agentic OCR document approval flow
Google LangExtract is NOW LOCAL! Zero Hallucination Document AI - Structured information extraction using local Ollama models with exact character offset grounding
⚡ AI-powered content intelligence with structured data extraction. Self-improving prompts, customizable templates, and feedback learning. Supports PDFs, multiple AI providers.
LangExtract AWS Bedrock support
Verifiable Document Extraction & Auditing Tool using Google LangExtract + Gemini 2.5.
LLM-Wiki-inspired AI agent with optional local inference, knowledge graph, and wiki-style KB tools. Runs in Docker. Can run fully offline with Ollama.
Zero-config Named Entity Recognition for drug discovery, chemistry, and biological sciences.
My experiment with langextract - a Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
text analysis with langextract
Grounded information extraction that cannot hallucinate: code proposes spans, Jev decides. An open-source alternative to LangExtract, with a bilingual benchmark and paper.
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。
Extract PII from text using langextract(Ollama)
Structured entity extraction from Brazilian investment fund regulatory PDFs (CVM/B3) using LangExtract + Gemini, for investigative journalism
🚀 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
Experimenting langextract for possible use case
Deterministic admission for LLM-extracted facts: admit, flag for review, or reject, with verifiable receipts.
langchain+langextract gemini-api breakdown of Project2025 text by Umberto Eco's fascist taxonomy + entities
Local invoice-to-Excel extraction with vision-capable LLMs and LangExtract.
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