Managed RAG for regulated environments

Production-grade retrieval pipelines built on your approved internal data sources. Tilde’s managed RAG approach helps organisations build secure knowledge-based AI systems with grounded responses, source traceability and full data control.

Secure RAG implementation for complex document environments

Tilde’s managed RAG approach helps organisations build knowledge-based AI systems using approved internal knowledge sources, trusted documents and domain-specific knowledge. This managed retrieval-augmented generation setup combines data preparation, semantic indexing, human validation and secure deployment to enable grounded AI responses with traceability and source citations. For enterprises, public sector organisations and regulated industries, enterprise RAG makes internal knowledge from complex document environments easier to search, apply and audit.

Advanced extraction and preparation

Complex documents - including PDFs, tables, and scanned archives - are transformed into structured, searchable digital assets. Data is prepared for AI in ways basic tools cannot achieve.

Architecture and semantic indexing

Vector database architecture and chunking strategies are designed to ensure contextual understanding - not keyword matching.

Human-in-the-loop validation

Expert linguists and localisation specialists, backed by 30+ years of European language expertise, validate outputs to ensure cultural, professional, and domain accuracy.

Full stack implementation

Retrieval infrastructure is deployed into existing enterprise workflows, including API development and UI integration.

Designed for real-world, regulated AI use

Managed maintenance

Ongoing synchronisation and system monitoring ensure the AI remains aligned with evolving internal knowledge.

Grounded AI responses

All outputs are generated strictly from your organisation’s own approved internal data sources, ensuring full traceability and accountability.

Traceability and citations

Every response - text or spoken - includes source attribution, ensuring full auditability.

Explore our specialised AI Data Service solutions

This solution is part of Tilde’s broader AI data services portfolio, alongside LLM fine-tuning and LLM fine-tuning + RAG for organisations that need secure, domain-specific AI solutions.

LLM fine-tuning

Train AI models to master your domain terminology, tone, and cultural nuance for professional and regulated environments.

LLM fine-tuning + RAG

Combine domain-trained models with document-based retrieval for maximum accuracy, reasoning, and control.

Why organisations choose Tilde

Strategy first - clear specifications before implementation
End-to-end delivery - no internal AI team required
European language expertise - beyond English-centric models
Data sovereignty - 100% EU-based and on-premises options
Regulated-sector experience - government, legal, medical, finance

Frequently asked questions

What is managed RAG?

Managed RAG, or managed retrieval-augmented generation, helps organisations build knowledge-based AI systems that use approved internal knowledge sources instead of only relying on general model knowledge. Tilde’s managed RAG approach combines data preparation, RAG pipeline design, semantic indexing, validation, and secure deployment for enterprise and regulated environments.

How does is managed RAG different from a standard AI chatbot?

A standard AI chatbot may primarily rely on the model’s general training data. Managed RAG connects the AI system to approved internal documents, knowledge bases and data sources, which means responses are more grounded, traceable and relevant to the organisation’s domain.

What types of documents does Tilde’s managed RAG support?

Tilde’s managed RAG system can process complex document types, including legal documents, PDFs, tables, scanned archives, policies, manuals, and multilingual documentation. These sources are transformed into structured, searchable assets for AI knowledge management across regulated sectors.

Does Tilde build enterprise RAG solutions for multilingual data?

Yes. Tilde combines RAG implementation with European language expertise, helping organisations build secure enterprise RAG systems that work with multilingual internal knowledge sources and domain-specific terminology.

Can Tilde deploy managed RAG in the EU or on-premises?

Yes. Tilde’s managed RAG system can be deployed on EU-based infrastructure or on the organisation’s own servers, supporting data sovereignty and European data residency requirements. This makes it suitable for private RAG deployment in organisations with strict compliance needs.

AI data services for professional environments

Talk to our team about secure, domain-specific AI solutions built for your organisation

For Businesses

For Public Sector