patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
# Technical Summary Curates 93+ production-ready projects across beginner-to-advanced difficulty levels, with implementations spanning OCR, multimodal RAG, voice agents, and agentic workflows using frameworks like CrewAI, LlamaIndex, and AutoGen. Projects demonstrate integration with local models (Llama, DeepSeek, Qwen) alongside cloud APIs, with emphasis on practical patterns like streaming chatbots, MCP (Model Context Protocol) integration, and real-time voice pipelines. Includes structured learning paths from single-component basics to enterprise deployment patterns with vector databases (Qdrant, Milvus) and memory systems.
31,862 stars. Actively maintained with 8 commits in the last 30 days.
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Mar 12, 2026
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