I Designed a RAG Variant for Multi-Agent Simulations. Here's the Design and the Honest Tradeoffs.

Standard RAG is great for static knowledge bases. Embed documents, embed a query, return top-k by cosine similarity. That works. But put RAG inside a running civilization where 40 citizens have memories, councils deliberate on crises, and past decisions ripple into future ones, and similarity alone breaks down fast. The problem is simple: cosine similarity doesn't know that last month's drought caused today's food riot. It doesn't know that the council that voted against emergency grain…