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Research And Development
R&D Overview
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Advancing Generative AI through Innovation
The R&D team at LightOn plays a pivotal role in advancing the field of generative AI through continuous innovation and development. Their expertise spans across creating and fine-tuning large language models (LLMs) that form the backbone of the Paradigm platform, a comprehensive AI solution designed for enterprise use. This platform simplifies the integration of generative AI into business workflows, offering both on-premise and cloud options to ensure flexibility and scalability for various business needs.
r&d publicationsRecent R&D Posts
Introducing LightOn-rerank: SOTA multimodal LLM reranker
One 2-billion-parameter model reads text passages and scanned pages on the same relevance scale, from a single adapter and a single deployment.
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Multi-vector retrieval now on the infrastructure you already run
ColBERT-grade retrieval quality on the infrastructure teams already operate, at a fraction of the storage and serving cost.
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LightOn Demonstrates the Flexibility of Its OCR Model by Adapting It to Arabic Through Targeted Training
LightOn demonstrates the flexibility of LightOnOCR-2, its document understanding model, by adapting it to Arabic through fine-tuning.
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Adaptive Chunking: Reasoning Starts Before the LLM Sees a Token
Document-aware chunking selection for production RAG systems
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Deep Research is now Open
Agent-ModernColBERT adds ~10% over Reason-ModernColBERT on BrowseComp-Plus, stays at 149M parameters, and brings GPT-5 + Qwen3-8B-level retrieval performance to a fully open stack.
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🔴 The Retriever You Actually Need
Introducing LateOn and DenseOn, two Apache 2.0 retrievers: SOTA on BEIR, built to generalize.
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Document Intelligence at First Sight
OriOn-Qwen-SR1: Fast Implicit Reasoning for Long Documents
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