Context Assembly And Prompt Construction With Source Attribution

LangChain reference RAG implementation from scratch.

Unique: Demonstrates template-based prompt construction where context is formatted with document separators, source metadata, and relevance scores, enabling developers to experiment with different formatting strategies (e.g., numbered lists vs. narrative context) without changing retrieval or generation logic.

vs others: More transparent than black-box prompt optimization because developers can inspect and modify templates directly; more practical than generic prompt engineering because it shows RAG-specific patterns (context ordering, citation formatting).