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Connecting AI to your internal documents: the guide to reliable answers Use Cases

Connecting AI to your internal documents: the guide to reliable answers

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.

Alexia · 9 min read · June 05, 2026
Why your AI hallucinates (and how to ground it in your company data) Use Cases

Why your AI hallucinates (and how to ground it in your company data)

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.

Alexia · 8 min read · June 05, 2026
Sovereign, GDPR-compliant RAG: the complete 2026 guide Sovereign AI

Sovereign, GDPR-compliant RAG: the complete 2026 guide

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.

Alexia · 16 min read · May 29, 2026
Building an AI agent is trivial. Grounding it in validated data is the real challenge. Sovereign AI

Building an AI agent is trivial. Grounding it in validated data is the real challenge.

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.

Alexia · 9 min read · May 20, 2026
5 signs your knowledge base isn't ready for AI Knowledge Audit

5 signs your knowledge base isn't ready for AI

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.

Alexia · 9 min read · May 15, 2026
GDPR and sovereignty: how your data stays in Europe with RagNight Security & GDPR

GDPR and sovereignty: how your data stays in Europe with RagNight

AI agents managed by major US hyperscalers raise compliance issues that many CIOs prefer to ignore. Let's set things straight.

Alexia · 6 min read · May 02, 2026
RAG for technical documentation: the dev teams' copilot Use Cases

RAG for technical documentation: the dev teams' copilot

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.

Alexia · 10 min read · April 28, 2026
Anonymization before vectorization: techniques, limits, and good reflexes Security & GDPR

Anonymization before vectorization: techniques, limits, and good reflexes

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.

Alexia · 10 min read · April 21, 2026
Audit your knowledge base before AI: the complete method Knowledge Audit

Audit your knowledge base before AI: the complete method

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.

Alexia · 15 min read · March 24, 2026
Internal legal assistant: RAG over contracts and policies, with traceability Use Cases

Internal legal assistant: RAG over contracts and policies, with traceability

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.

Alexia · 11 min read · February 24, 2026
GDPR and generative AI: the compliance guide for your RAG projects Security & GDPR

GDPR and generative AI: the compliance guide for your RAG projects

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.

Alexia · 18 min read · February 10, 2026
Open models vs proprietary APIs: which choice for sovereign AI? Sovereign AI

Open models vs proprietary APIs: which choice for 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.

Alexia · 12 min read · January 13, 2026
Detecting knowledge-base gaps with user queries Knowledge Audit

Detecting knowledge-base gaps with user queries

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.

Alexia · 10 min read · December 16, 2025
RAG-augmented customer support: cut resolution time without losing quality Use Cases

RAG-augmented customer support: cut resolution time without losing quality

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.

Alexia · 10 min read · November 18, 2025
EU AI Act: the 2025-2027 obligations timeline and enterprise checklist Security & GDPR

EU AI Act: the 2025-2027 obligations timeline and enterprise checklist

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.

Alexia · 11 min read · November 04, 2025
AI sovereignty for the European enterprise: the 2026 strategic guide Sovereign AI

AI sovereignty for the European enterprise: the 2026 strategic guide

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.

Alexia · 16 min read · October 07, 2025