Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
-
Updated
Aug 29, 2025 - Python
Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
LangExtract AWS Bedrock support
⚡ AI-powered content intelligence with structured data extraction. Self-improving prompts, customizable templates, and feedback learning. Supports PDFs, multiple AI providers.
Extract PII from text using langextract(Ollama)
The RAG Structured Data System is an advanced solution using langextract, designed specifically for conversational interfaces over structured datasets. Unlike traditional RAG systems that work with unstructured text, this system excels at handling tabular data from Excel, CSV, and JSON datasets while preserving granularity and precision
text analysis with langextract
My experiment with langextract - a Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Ask questions about any YouTube video to this LLM powered transcriber.
Contains all my python things...
Python desktop app doing QA for Reactome biocurators
A powerful, configurable text extraction system for building knowledge graphs
Add a description, image, and links to the langextract topic page so that developers can more easily learn about it.
To associate your repository with the langextract topic, visit your repo's landing page and select "manage topics."