advanced~8h

Context Engineering: Memory & History

Learn context assembly, the 6 types of contexts for AI agents, memory hierarchies, token compression, and context engineering workflows.

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▶📚 Prerequisites(1)

🎓 Learning objectives

•Identify and implement the 6 Types of Contexts for AI Agents (Instructions, Examples, Knowledge, Memory, Tools, Tool Results)
•Optimize context windows using token compression and summarization
•Design context engineering workflows utilizing tools like Tensorlake, Zep, Firecrawl, and Milvus

Write Stage — Creating Context: Memory, Retrieved Docs, Tool Results, History

Select Stage — Choosing What Goes Into the Context Window

Compress Stage — Making Context Smaller: Summarization, Pruning, Distillation

Isolate Stage — Separating Context by Type So the Model Doesn't Confuse Instructions, Data, and History

rag-workflowrag-architectures

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