Knowledge grounded
Search the knowledge first, then write the email
Most teams do not lack models. They lack a workflow that grounds each reply in company knowledge. MailsRAG combines retrieval, drafting, and review so email automation becomes more reliable.
Reduce the chance of fact drift and made-up answers
Use FAQs, policies, docs, and internal knowledge as reply evidence
Fit high-accuracy topics such as security, billing, and product capability
Move from review-first workflows toward higher automation gradually
Why knowledge grounding matters
Customer email often asks for details that raw models should not invent.
Product, pricing, policy, and security answers need a shared source of truth.
As teams grow, shared knowledge matters more than individual memory.
How MailsRAG works
Retrieve the most relevant knowledge first.
Draft the reply on top of that evidence instead of free-form generation.
Keep human review in the loop before raising automation levels.
Best-fit question types
Product capability and how-to questions
Pricing, plan, and billing explanations
Security, compliance, and deployment questions
Knowledge-grounded replies FAQ
How is a knowledge-based reply different from a generic AI draft?
The difference is that knowledge is retrieved first and used as evidence before the draft is generated, which is better for accuracy, consistency, and reviewability.
What kind of knowledge can be connected?
FAQs, help docs, pricing explanations, security material, and private knowledge files are all good candidates.
Does every email need knowledge grounding?
It matters most for high-accuracy, high-risk topics such as pricing, security, policy, and product capability.