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
BMO OS: An authentic, lightweight AI companion for Linux. Features a custom CRT UI, voice synthesis with robotic filters, and smart web search via Ollama. It monitors your system (CPU/GPU) and speaks only when needed to save VRAM. “BMO is a real living boy!” 📟✨
Uma assistente de terminal que ajuda a programar em python e com problemas no terminal do linux
AI-powered subtitle analysis that intelligently segments video transcripts into topics, extracts key insights, and visualizes content structure—all using local language models.
RAG-based-on-PDF is a RAG system that lets users ask questions from one web page of VS code documentation which is scraped (given below) using FAISS, HuggingFace embeddings, and a OpenRouter Api via a FastAPI backend and Streamlit as Frontend.
Learning project with A2A, CrewaAI and Huggingface
A pipeline for creating Knowledge Graphs from CSV files tagged with IEC 61850 standard, featuring automated evaluation and performance monitoring. This pipeline follows the Omega-X ontology pattern for energy data modeling and semantic interoperability.
Add a description, image, and links to the gemma3-4b topic page so that developers can more easily learn about it.
To associate your repository with the gemma3-4b topic, visit your repo's landing page and select "manage topics."