// Multi-Agent Synthesis RAG //

Nice paper on improving RAG systems with multiple agents.

(bookmark it)

The paper introduces MASS-RAG, a multi-agent synthesis framework for retrieval-augmented generation.

Specialized agents handle distinct roles: retrieving candidate documents, assessing their actual relevance to the query, and synthesizing the final answer from evidence that actually contributes.

Instead of one model doing everything, responsibility is decomposed across coordinated evaluators.

Most real-world RAG failures come from retrieving technically-relevant but contextually useless documents, then forcing a single model to reconcile them. Multi-agent synthesis is a cleaner decomposition of the problem and fits the direction the field is already heading in for deep research agents.

Paper: arxiv.org/abs/2604.18509

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