André Dias Moreira Prol: RAG connecting AI to company documents
Imagine um assistente de IA capaz de responder perguntas sobre contratos, políticas internas e manuais da sua empresa — com a precisão de quem leu cada documento e a discrição de quem nunca vaza informação confidencial. Esse cenário deixou de ser ficção. Ao longo de duas décadas lidando com infraestrutura e, mais recentemente, com projetos de IA aplicada, eu, André Dias Moreira Prol, vi o RAG…
André Dias Moreira Prol, an expert in infrastructure and AI projects, writes about Retrieval-Augmented Generation (RAG), a technology that allows companies to extract value from their own knowledge. RAG solves problems with language models like GPT and Llama, which often lack internal data and provide inaccurate responses. By searching relevant documents before generating answers, RAG reduces the time spent by legal teams in locating specific clauses by up to 70%.
However, implementing RAG requires method and security to prevent sensitive data leaks, particularly under Brazil's LGPD, which can impose fines of up to R$ 50 million for infractions.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.