Context Engineering Pipeline

Build a RAG system that dynamically assembles context based on query type — metadata filters, recency weighting, source diversity rules, and dynamic prompt templates.

You will learn to:

• Build a rigorous evaluation framework with a fixed test set and baseline score
• Add document metadata and use it to filter retrieved chunks before answer generation
• Classify query intent and apply different prompt templates for each type
• Measure the impact of each RAG improvement quantitatively against a baseline
• Understand what context engineering means and how it differs from basic RAG