The user spent 8 months optimizing RAG for Usul AI and a legal AI enterprise, focusing on query generation, reranking, chunking strategy, metadata, and query routing to improve performance. They shared their findings in an open-source project, agentset-ai/agentset, under an MIT license for others to learn from.