MailsRAG is an AI email assistant that retrieves relevant company knowledge before drafting replies. It addresses the problem of fact drift and invented answers in customer emails on topics such as product details, pricing, policies, and security.
The system combines retrieval, drafting, and review steps. It searches FAQs, policies, documentation, and other internal knowledge first, then generates the reply based on that evidence rather than free-form output. This grounding approach supports high-accuracy responses for product capability and how-to questions, pricing and billing explanations, and security, compliance, or deployment inquiries. Teams begin with a review-first workflow and can increase automation levels over time while maintaining consistency.
Knowledge grounding matters because customer questions often require a shared source of truth that grows in importance as organizations expand. A knowledge-based reply differs from a generic AI draft by retrieving and using evidence before generation occurs. The tool is bilingual and offers a console interface.
MailsRAG is an AI & ML project. It focuses on reducing hallucinations and inconsistency when using AI to draft customer support or internal emails. MailsRAG is a B2B product aimed at customer support teams. A free plan is available. It runs on the web and API.
MailsRAG first shipped in 2025. Key capabilities include Knowledge Retrieval, Review-first Workflow, and Grounded Drafting. The interface is available in English and Chinese. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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