HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the didilili organization.
The most systematic 2026 crash course on AI Agents: a hands-on tutorial with a complete learning path, real projects and an interview question bank, aimed at LLM application engineer roles. Covers LangChain, LangGraph, Coze, Dify, MCP, skills, LLM, RAG and prompt engineering, plus enterprise deployment and fine-tuning, from zero to production, from learning to shipped projects to interview prep.
An e-commerce data-warehouse Q&A AI agent built with LangGraph, FastAPI, Qdrant, Elasticsearch, MySQL, and React, ideal as a hands-on project for learning LangGraph. Implements a metadata knowledge base, hybrid retrieval, NL2SQL generation and validation, SQL execution, and streaming results, with one-click Docker deployment and the free ai-agents-from-zero tutorial.