GuideRAG reranking with Jev: how we use it in production
RAG reranking with Jev, TypeSafe's AI model: how we use it in production, the scores it gives, the chunks it keeps, response time and cost.
7 min
Guide
GuideHow AI works: the 10 concepts to understand before you sign
Neural networks, tokens, training, fine-tuning, hallucination, LLMOps: the ten concepts that explain where your AI budget goes and where your dependency begins.
ConceptsHybrid search: the 6 ways to find a piece of information
Semantic, keyword, business tools, database queries, document catalog, tailored processing: the six paths an agent chains to find the right answer.
Digital SovereigntyBest French AI for enterprises in 2026: 14 vendors put to the sovereignty test
Fourteen French enterprise AI vendors checked against public sources: who owns the capital, who hosts your data, who runs inference.
GuideEnterprise AI agents: use cases and real costs
Enterprise AI agents: the definition, what an agent can really do, the method that gets it into production, and what it actually costs.
GuideInternal company chatbot: how to scope the project right
Internal company chatbot: what it is really for, how it differs from a website chatbot, the classic pitfalls and the conditions for success.
GuideEnterprise AI SLA: one AI provider for your agents is not enough
Why one provider is not enough for an enterprise AI SLA. Compare commitments, multi-provider gateways and fallbacks for RAG and AI assistants.
3 min
GuideEnterprise RAG: 5 mistakes that show up after the POC
An enterprise RAG is relatively easy to prototype. Making it a useful, stable product is a much bigger challenge. Here are the five most common production pitfalls—and how to get ahead of them.
ProductYour databases are a gold mine, AI gives you the shovels
Juggling enterprise systems, getting a simple answer often takes twenty minutes (or a Teams ping to the “person who knows”). Your real data lives in structured databases: it’s often reliable, up to date… but also inaccessible. Most companies seem to overlook it, yet AI can query it in plain language and cross-reference documents and databases in seconds.
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TutorialHow RAG Transforms Your AI into an Expert on Your Business
RAG and LLM: definition, how it works, choosing the model. The guide to connecting an LLM to your internal documents and enterprise data.