When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval
A new research paper introduces MASDR-RAG, a method to combat "vector search dilution" in retrieval-augmented generation (RAG) systems. This dilution occurs when scaling RAG to large document sets, leading to decreased accuracy as similarity searches return irrelevant information. The proposed solution involves scoping retrieval to specific domains using organizational metadata, which significantly improved performance in tests. AI
IMPACT This research offers a practical solution to improve the accuracy and efficiency of RAG systems when dealing with large, diverse datasets.