A new type of attack, Micro-Collaborative Poisoning, is introduced that targets Retrieval-Augmented Generation (RAG) systems. This attack involves dividing a false target claim across multiple documents, making it difficult to detect. The attack is evaluated across various RAG configurations, and the results show that it can be effective even with diverse and strong retrievers. This highlights the need for improved defenses against such attacks.