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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-using Python GitHub ↗
★ 1
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary 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 Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
OpenAI
🧩 AI frameworks (2)
LangChain LangGraph
🗄️ Vector DBs (1)
Chroma
🌐 Web frameworks (1)
Streamlit

Language breakdown (by bytes)

Python
99.8%
Mermaid
0.2%

Owner

Account
lmguerrini
Type
User
Followers
9

Full Stack Web Developer | AI & XR enthusiast

Dates

Created on GitHub 2026-05-05
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-09 18:15

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