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lmguerrini/ai-engineering-learning-assistant

Educational AI agent built with LangGraph, RAG, and memory systems to generate structured study guides and adaptive quizzes for AI Engineering topics.

⚡ AI使用 Python GitHub ↗
★ 1
stars
75
AI関連スコア
50
個人開発度
0
AIツール痕跡

SUMMARY AI要約 by gpt-5-mini

This repository implements an AI-native educational platform for adaptive AI Engineering learning. It combines Streamlit UI with LangGraph/LangChain agent workflows, OpenAI models, and a ChromaDB-backed retrieval system to generate personalized study paths, agent-generated quizzes, long-term learning memory, and retrieval-augmented answers enriched with external documentation. The system includes observability, workflow traces, evaluation pipelines (RAG/RAGAs), and persistent analytics. Intended users: beginner-to-intermediate AI Engineering students, developers learning LangChain/LangGraph, and researchers exploring agentic RAG systems. Key features: adaptive learning paths, quiz generation & evaluation, persistent memory, Chroma retrieval, LangGraph stateful workflows, index health checks, and dashboard for traceability and debugging.

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
OpenAI
🧩 AIフレームワーク (2)
LangChain LangGraph
🗄️ ベクトルDB (1)
Chroma
🌐 Web/アプリフレームワーク (1)
Streamlit

使用言語(バイト数比)

Python
99.8%
Mermaid
0.2%

オーナー情報

アカウント
lmguerrini
タイプ
User
フォロワー
9

Full Stack Web Developer | AI & XR enthusiast

日付

GitHub作成日 2026-05-05
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 18:15

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