Aoraki

Agentic Systems — reach the peak. Build multi-agent systems with RAG, orchestration, and shared memory.

●●●●Strenuous · 4 lessons

By the end of this trail, you will:

✓Understand multi-agent architectures and when to use single vs. multi-agent approaches
✓Know the full RAG pipeline — chunking, embeddings, vector search, and retrieval strategies
✓Build a working RAG system with document ingestion, embedding storage, and query pipelines
✓Design and deploy a multi-agent system with shared memory and monitoring

Multi-agent systems, orchestration patterns, and agent crews.

Retrieval-Augmented Generation: chunking, embeddings, vector search.

Hands-on: document ingestion, embedding, querying with LangChain.

Multi-agent + RAG + shared memory + deployment + monitoring.