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Everything you need to ground your AI agents in validated data.
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Use Cases
ChatGPT doesn't know your contracts, procedures or catalogue. Here's how to connect AI to your internal documents — copy-paste, fine-tuning or RAG — for reliable, cited, up-to-date answers.
Use Cases
ChatGPT, Claude or Mistral answer with confidence… then make things up. The cause isn't the model — it's that it doesn't know your business. Here's why AI hallucinates and how to reduce hallucinations by grounding it in your own documents.
Sovereign AI
Designing a sovereign, GDPR-compliant RAG in 2026: storage location, controlled inference flows, multi-tenant isolation, and traceability — with pgvector, European open models, hybrid search, and reranking.
Sovereign AI
In 2026, the model and frameworks are commodities: an AI agent ships in a weekend. The real variable is the data layer. Three symptoms that betray an unready base, and the four criteria of AI-ready data.
Knowledge Audit
Your AI pilots dazzle in demos and disappoint in production? The culprit is rarely the model. Here are the five signs that reveal a knowledge base not ready for RAG — and how to fix each one.
Security & GDPR
AI agents managed by major US hyperscalers raise compliance issues that many CIOs prefer to ignore. Let's set things straight.
Use Cases
Technical docs are a corpus apart: code, structure, versions, exact terms. How to build an internal copilot that chunks without breaking code, searches in hybrid mode, and respects versions — to genuinely help dev teams.
Security & GDPR
Anonymize or pseudonymize before vectorizing? The GDPR distinction, why perfect anonymization is rare on free text, the techniques (NER, consistent pseudonymization), and the reflexes to adopt.
Knowledge Audit
A RAG amplifies the quality — or mediocrity — of its corpus. The complete method to audit your base before AI: inventory, authority/freshness scoring, contradiction and gap detection, Knowledge Ops, and health KPIs.
Use Cases
RAG over contracts and internal policies: sourced search, comparison and summaries. Why traceability (document, article, version), versioning and permissions are the precondition for legal use.
Security & GDPR
The GDPR compliance guide for your RAG projects: legal basis, minimization, personal data in embeddings and prompts, the right to erasure cascading into vectors, subprocessors, and articulation with the AI Act.
Sovereign AI
Self-hosted open models or closed APIs? 2026 landscape (Llama 4, Mistral, Qwen 3, DeepSeek, Gemma), five trade-off axes, a per-use decision table, and a sensitivity-based routing strategy.
Knowledge Audit
Every user query reveals what is missing from your base. Detect gaps (vs mere retrieval problems), diagnose the three causes, and close the loop for a living corpus driven by real usage.
Use Cases
Support is the fastest-ROI RAG use case. Copilot vs self-service, sourced architecture, anti-hallucination guardrails and metrics: how to cut resolution time without sacrificing quality.
Security & GDPR
The real EU AI Act timeline (2025-2027), risk tiers, where an enterprise RAG assistant lands, and a concrete compliance checklist — jargon-free, for DPOs and product teams.
Sovereign AI
AI sovereignty is no longer ideological — it's a board-level trade-off. The three levels of dependence (model, infrastructure, data), the 2026 model landscape, hosting in Europe, build vs buy, and a 90-day roadmap.
Lia
Ragnight product advisor