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Make your AI an expert on your brand
Generic AI models lack your context. EPIC uses RAG to ground workflows in your own glossaries and translation memories
What is RAG?
Retrieval-Augmented Generation (RAG) is a powerful technique that connects an AI model to your organization’s private data - for example, your glossaries and translation memories without the need for expensive or risky retraining.
How it works
Imagine your organization has a "closed" AI environment designed for total privacy:
The Vault
1
Your internal data is stored behind a secure "wall," accessible only through approved access points.
The Retrieval
2
When a query is made, the system first "retrieves" the relevant facts from inside your vault.
The Grounding
3
The AI responds based only on that retrieved data, rather than relying on its generic "internet" knowledge.
Instead of AI guessing how to translate your technical terms, Retrieval-Augmented Generation (RAG) forces it to search your specific data first. This eliminates hallucinations and ensures that every automated output is brand-accurate, compliant, and consistent with your official documentation.
How does RAG optimize the TAUS EPIC ecosystem?
The TAUS EPIC ecosystem manages the final mile of your translation workflow. It combines automated Quality Estimation (QE) with real-time Automated Post-Editing (APE). While our in-house QE models are trained to recognize your brand’s specific definition of quality, the third-party LLMs handling the automated fixes are generic by nature. Retrieval-Augmented Generation (RAG) bridges this gap by feeding your brand data directly to the LLM.
Glossaries & TMs
APE
Custom Content
The RAG Advantage Scale with Control
RAG acts as a dynamic, real-time source of truth during the APE process. Instead of letting a generic AI model overwrite your brand-specific terminology, RAG injects your private glossaries and translation memories directly into the prompt context on demand.
Context-Aware Fixes
Aligns the automated correction with your custom quality benchmarks.
Terminology Guardrails
Prevents generic AI models from introducing inconsistent translations or ignoring your unique voice.
Enterprise Efficiency
Delivers the massive scale of AI translation with the absolute precision of your own data-driven localization standards.
Frequently Asked Questions
If you have more questions, we’re here to help support@taus.net
- Do I need to retrain my model to use RAG?
No. RAG works by retrieving your data in real-time, meaning you can update your glossaries and memories without expensive retraining cycles.
- Is my data secure?
Yes. TAUS is built for enterprise requirements, ensuring your data is used to optimize your workflows, not to train public models.
- Can I test RAG with my own content?
Yes. Our EPIC App allows you to upload your files and see how EPIC processes your specific content compared to generic translations.