A European model, strengthened and optimized by LightOn’s R&D team

The result is improved stability, more reliable outputs on enterprise data, and seamless integration within search, retrieval, and enterprise agent workflows. This new version also delivers a major fix to an issue observed in Alfred 4.2, which could occasionally trigger instabilities or looping behaviors. Alfred-Sovereign 5 now provides significantly enhanced stability, especially for long, complex, or highly structured queries.
Technical elements without making them the core topic
In a mature RAG architecture, the key to quality lies in the retrieval pipeline and orchestration, not in the model spec sheet. Still, for teams who need technical touchpoints, Alfred-sv5 offers:- a context window of up to 32,000 tokens,
- an architecture refined to improve instruction-following and reduce repetitive or looping outputs,
- strong support for function calling and structured outputs, enabling tighter integration with tools, agents, and enterprise systems.
Sovereignty vs performance: a clear choice, soon to be expanded
Alfred-Sovereign 5 addresses a very real market demand: some organizations specifically require a European-origin LLM, even when other open-source models already provide complete confidentiality. To serve these different expectations transparently, LightOn is structuring its model offering along two product lines:- Alfred-Sovereign: for teams that prioritize European origin, and alignment with internal political or regulatory frameworks.
- Alfred-Frontier (coming soon): for organizations that prioritize raw performance and the highest possible quality, regardless of the model’s origin.
A component of a RAG system not the destination
In a fully operational RAG system, the LLM is just one component among many: indexing, embeddings, retrieval, guardrails, agent workflows, and post-processing all play decisive roles.Alfred-Sovereign 5 positions itself as the sovereign core model within this broader pipeline without pretending to be the sole driver of system performance. This combination a well-designed RAG pipeline + a model fine-tuned for enterprise use + sovereign or high-performance options is what enables organizations to balance political requirements, regulatory constraints, and real-world impact.