Standard fixed-chunk vector RAG is being replaced by graph-based and entity-aware retrieval systems to preserve complex dependencies, though developers must be wary of unproven complexity in adaptive routing.
Evidence
- Research on enterprise code migration shows that standard vector RAG breaks topological dependency chains, necessitating graph RAG for complex tasks like automated refactoring.
- Approaches such as EAR and CoG use entity-anchored partitions and graph-text synergy to reduce context token overhead and improve multi-hop reasoning without fine-tuning.
- Studies on adaptive routing caution that complex routing based on retrieval-time signals often fails to outperform simple query-only baselines.
Implications
- Practitioners must shift to property graphs and entity-aware chunking for complex domains like codebase indexing and compliance workflows.
- RAG evaluation pipelines should mandate strict query-only baselines before teams adopt complex runtime routing or multi-modal retrieval features.
Concepts
RAG RAG Evaluation Codebase Indexing Chunking
Confidence
high