BUILD WITH AI — Season 1
EPISODE 08
Context Engineering: Beyond RAG
Learn why better AI systems depend on the right context — not just better prompts — and where RAG, memory, tools, and retrieval fit.
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EPISODE 08What we’ll explore
- Prompt engineering vs context engineering
- What actually goes into an AI model's context
- System instructions and user context
- Retrieval-Augmented Generation (RAG)
- Documents, search, and knowledge sources
- Short-term vs long-term memory
- Conversation and task state
- Tool results as context
- Context windows and trade-offs
- Retrieval quality and relevance
- When RAG is useful — and when it is overkill
- Context patterns for agents
About this session
As AI applications mature, prompting alone is no longer enough. The quality of an AI system often depends on the information, instructions, history, tools, and data available to the model at the right moment. This broader discipline is increasingly described as context engineering.
In this session, we will go beyond the basic idea of RAG and explore the different ways AI systems acquire and manage context.
Takeaway
Leave with a broader understanding of how to design the information environment around an AI system rather than focusing only on prompts.
Who should attend
No setup required to watch.
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