# Retrieval-Augmented Generation

> We build Retrieval-Augmented Generation (RAG) pipelines that ground AI answers in your own documents, emails and data: accurate, current, cited and private.

https://e-xperiencebe.webhosting.be/solutions/rag · English

RAG: answers grounded in your own data

Retrieval-Augmented Generation connects a large language model to your own knowledge, such as documents, emails, product data and policies, so it answers from what your business actually knows instead of guessing. We build RAG pipelines that retrieve the right source at the right moment, keep answers current, and cite where they came from.

RAG use cases

Where retrieval-augmented generation delivers value

## Languages

- [Português](https://e-xperiencebe.webhosting.be/pt/solucoes/rag.md)