---
title: "Custom Data Preparation Pipelines"
description: "Feed third-party data into Data Pools (RAG) through preparation pipelines"
canonical_url: "https://meingpt.com/en/docs/integrations/custom-data-preparation-pipelines"
language: en
---

# Custom Data Preparation Pipelines

For complex integrations, we support a pipeline pattern with S3 as the handover point.

## Hosting model

- Either the customer uses their own S3 bucket
- Or meinGPT can host an S3 bucket on request

## Typical workflow

1. Data is extracted from third-party systems (e.g., DMS, ERP, CRM, or domain tools)
2. A script or flow prepares the content (e.g., into document-ready formats)
3. Prepared documents are written into the S3 bucket
4. meinGPT ingests the bucket and exposes the content through RAG

For extraction and preparation, no-code flows such as n8n can be used.

## Security

Transfer and storage can be implemented with encryption (e.g., SSE-C or comparable customer-managed encryption), depending on security requirements.