Context Engineering Guide
10 months ago
- #AI
- #Context Engineering
- #LLM
- Context engineering is the process of designing and optimizing instructions and relevant context for LLMs and advanced AI models to perform tasks effectively.
- It includes prompt engineering, managing dynamic elements, RAG, tool definitions, and structuring inputs/outputs.
- A concrete example involves a multi-agent deep research application with a Search Planner agent generating search plans.
- Key components of context engineering are instructions, user input, structured inputs/outputs, tools, RAG & memory, and states & historical context.
- Context engineering requires iterative optimization and evaluation to measure effectiveness.
- Future areas include context compression, management techniques, safety, and automated context engineering methods.