RAG Prompt Engineering: Context Placement & Citation Strategies › Key Parameters

Michael BrenndoerferJanuary 31, 20261 min read
Language AI HandbookAll chapters
Part 44 of 67Retrieval-Augmented Generation
Chapter 344RAG Prompt Engineering: Context Placement & Citation Strategies › Key Parameters
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The key parameters for the RAG prompt builder form a configuration space that determines the information-theoretic properties of the final context window. These parameters interact in ways that affect both the computational complexity and the semantic fidelity of the retrieval augmentation:

Key parameters for RAG prompt configuration.
ParameterDescriptionOptionsImpact
max_context_tokensMaximum tokens for retrieved context1000-8000+Controls total information capacity
orderingDocument sequence strategy"relevance", "chronological", "clustered"Affects attention distribution
truncationToken allocation method"uniform", "weighted", "head_only", "sliding_window"Determines information preservation

The parameters interact in non-obvious ways. A large max_context_tokens budget combined with "uniform" truncation may hurt performance if it means every document gets truncated to the same short length, losing the detail in the most relevant documents. A smaller budget with "weighted" truncation may produce better results because the highest-relevance documents receive enough space to present their content coherently. Similarly, "chronological" ordering is only useful when your retrieval scores are not well-calibrated for temporal relevance; if your retriever already down-weights old documents appropriately, chronological ordering just overrides that calibration.