REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving
RAG latency is now a solved problem in principle. This work shows that compression gains are unstable across queries and that the old post-retrieval approach is adding overhead without benefit. REVA mines your own traffic to build a scoring layer that's specific to your generator and documents. If you're running knowledge-intensive applications at scale, this is worth implementing before optimizing the retrieval layer itself.