A method for augmenting an AI prompt with personally1 contextualised data that is unknown to a Large Language Model. Documents are directly added to the prompt as context before sending to the LLM.
flowchart TD Input@{ shape: lean-r, label: "User Prompt" } Input -->|adds| Document@{ shape: docs, label: "Documents, Images, etc." } Document -->|contextualising| Context(Final Prompt) Context --> LLM
Retrieval Augmented Generation is an alternative to Long context prompting
Source: Is RAG Still Needed? Choosing the Best Approach for LLMs - YouTube
Footnotes
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Personal as in not publicly known outside of an individual, family or business. ↩
