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// Course · stage 8 of 9

RAG, Agents & AI Engineering

Embeddings and retrieval, RAG, tool calling and MCP, agent design, evaluation and launch.

4 unitsabout 36 hours26 algorithms

01Units in this stage

In order. Each unit has goals, algorithms, must-read papers, a project and a self-test.

02Algorithms you will meet

Algorithms Atlas →

BM25Sentence Embeddings (Sentence-BERT)Dense Passage Retrieval (DPR)ColBERT (Late Interaction)HNSW (Hierarchical Navigable Small World)Product Quantization (PQ)FAISS (Billion-scale GPU Similarity Search)Matryoshka Representation LearningContrastive Learning (InfoNCE)Cross-Encoder RerankingRetrieval-Augmented Generation (RAG)HyDE (Hypothetical Document Embeddings)GraphRAGLLM-as-a-JudgeReAct (Reason + Act)ToolformerFunction Calling / Tool UseModel Context Protocol (MCP)ReflexionGenerative Agents (Memory & Reflection)Agent–Computer Interface (SWE-agent)Tree of ThoughtsMulti-Agent Conversation (AutoGen)MemGPT (Hierarchical Agent Memory)Speculative DecodingRadixAttention (Prefix Caching)

Part of these routes: Everyday Users · Application Developers · Product Managers & Leaders · Domain Scientists

Data updated: AI algorithms & curriculum(UTC+8)