Context engineering shifts RAG focus from prompt tuning to structured data assembly for LLM calls. The single-document architecture utilizes four bricks—parsing, question parsing, retrieval, and generation—to produce typed context pieces. These include system prompts, filtered document segments, and structured metadata. This engineering discipline improves auditability, enables caching, and supports scalable component composition.
- Four-brick pipeline: parsing, question parsing, retrieval, generation
- Typed data outputs for LLM context assembly
- Fixed system prompts for caching efficiency
- Filtered document lines and structured metadata
- Improved auditability and cost control
- Four-brick pipeline: parsing, question parsing, retrieval, generation
- Typed data outputs for LLM context assembly
- Fixed system prompts for caching efficiency
- Filtered document lines and structured metadata
- Improved auditability and cost control
