NLP Mir
Description
Transformer-based NLP extraction pipeline achieving 95%+ accuracy on unstructured documents. Implements multi-label section classification (DistilBERT, 91% macro F1), RAG with FAISS vector search + cross-encoder re-ranking, and agentic LangGraph workflows evaluated with RAGAS. Built with PyMuPDF, spaCy, HuggingFace, and Claude API. Developed from M
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/19824c42-5bdc-451b-9cd7-d3fe3acb262f
Run Locally
**Prerequisites:** Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev
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Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
