RAG & LLM Integration for Enterprise in Belgium
Unlock your organization's knowledge with AI. We build retrieval-augmented generation systems that connect large language models to your proprietary data.
We design and implement enterprise RAG systems that enable organizations to leverage large language models with their proprietary data while maintaining security and compliance. Our solutions include document processing pipelines, vector databases, and production-grade APIs that integrate seamlessly with existing systems.
What We Deliver
RAG Architecture & Design
Document Processing Pipeline
Production API & Monitoring
How We Work
Use Case Definition & Data Assessment
RAG System Implementation
Testing & Production Deployment
Technologies We Use
Frequently Asked Questions
What is RAG and why do we need it?
Retrieval-Augmented Generation (RAG) connects large language models to your proprietary data, enabling AI applications that understand your specific domain knowledge. Without RAG, LLMs only know their training data and cannot access your documents, databases, or internal knowledge.
How do you ensure data security with LLM integration?
We implement multiple security layers: data encryption in transit and at rest, access controls, audit logging, and private deployment options. For sensitive data, we use on-premises or VPC-hosted solutions. All integrations comply with GDPR and Belgian data protection requirements.
What are the costs of running a RAG system?
Costs include LLM API usage, vector database hosting, and compute resources for document processing. A typical enterprise RAG system costs €2,000-10,000 per month depending on usage volume. We optimize costs through caching, batch processing, and efficient model selection.
From Our Blog
14 June 2026
Deploying AI in the EU: A Compliance Checklist (AI Act + GDPR + NIS2 + DORA)
A practical checklist to deploy AI compliantly in the EU: where the AI Act, GDPR, NIS2 and DORA each apply across the AI lifecycle, with owners, artefacts and red flags.
10 June 2026
RAG for Enterprise: Building AI-Powered Knowledge Bases
How Belgian enterprises can leverage Retrieval-Augmented Generation to build AI-powered knowledge bases that connect LLMs to proprietary data.
13 June 2026
Building Production Data Pipelines with Python and Airflow
A practical guide to building production-grade data pipelines with Python and Apache Airflow. ETL patterns, monitoring, and best practices.
2 June 2026
Infrastructure Monitoring: Grafana, Prometheus
A practical guide to infrastructure monitoring with Grafana and Prometheus. Setup, dashboards, alerting, and best practices for Belgian DevOps teams.
25 May 2026
Cloud-Native Architecture Patterns
Essential cloud-native architecture patterns for Belgian enterprises: microservices, event-driven, CQRS, and serverless approaches explained.
18 May 2026
Managed Kubernetes vs Self-Managed: Cost Comparison
A cost comparison of managed Kubernetes (EKS, AKS, GKE) vs self-managed clusters for Belgian companies. Total cost of ownership analysis.
Related Services
Data Pipeline Engineering
Build data pipelines that scale. From ETL to real-time streaming, we engineer data infrastructure that turns raw data into business value.
Cloud Architecture
Design cloud infrastructure that scales. We architect resilient, cost-efficient cloud environments aligned with your business goals and compliance requirements.
Kubernetes Consulting
Container orchestration done right. From initial cluster setup to production-grade managed Kubernetes, we help you scale applications reliably and securely.