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.
Ce que nous livrons
RAG Architecture & Design
Document Processing Pipeline
Production API & Monitoring
Comment nous travaillons
Use Case Definition & Data Assessment
RAG System Implementation
Testing & Production Deployment
Technologies que nous utilisons
Questions fréquemment posées
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.
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