What is Context Injection?
The technique of dynamically adding relevant context or data into LLM prompts or agent workflows to improve accuracy and relevance.
More about Context Injection:
Context Injection is a method for dynamically providing relevant data, retrieved knowledge, or situational context into the prompt or workflow of an LLM or agent. By using retrieval-augmented generation (RAG), tool use, or agent memory, context injection enhances the precision and usefulness of responses.
This technique is vital for applications such as LLM orchestration, enterprise automation, and multi-turn dialogue systems.
Frequently Asked Questions
How does context injection improve LLM outputs?
By providing current, task-relevant data or knowledge, it makes outputs more accurate, relevant, and actionable.
What are typical sources of injected context?
External APIs, databases, real-time user input, and historical agent memory.
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