External knowledge integration
The process of augmenting large-language-models with data from outside their original training set to enhance accuracy and utility within agentic-ai.
context engineering
The art and science of optimizing the context-window by strategically injecting the necessary information at each step of an Agent’s trajectory.
- Core Components:
- Instructions (System Prompts).
- External knowledge (e.g., via rag).
- tool-feedback and execution outputs.
- Implementation: Frameworks like LangGraph provide structured support for managing these context-shifting strategies.
Backlinks:
- 2026 04 14 Langchain context engineering
Source Notes
- 2026-04-07: Building an AI Marketing Team with Claude Code Agents Skills · ▶ source
- 2026-04-08: Claude Cowork Desktop AI Co worker Core Capabilities and Advantages · ▶ source
- 2026-04-10: OpenClaw and Obsidian Integration for Enhanced AI Agent Memory and Col · ▶ source
- 2026-04-22: Stanford