I Built a Swarm Agent RAG System Inspired by Karpathy's LLM Wiki

Most RAG systems use a single retriever to search a vector database. It works — until your knowledge base has code, images, tables, and text all mixed together. One retriever can't specialize in all of them. So I built rag-swarm — a multimodal RAG system where specialized swarm agents search in parallel, and an LLM-powered oracle evaluates every result before it reaches the user. The architecture is inspired by Karpathy's LLM Wiki three-layer design (ingestion → retrieval → generation), adapted