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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
NOVA: A Guide to Actually Measuring How Your Agent Works on Your Data
Numbers Over Vibes: Building a RAG Evaluation Framework That Actually Works
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Day Zero of Multi-Vector Retrieval
Introducing ColBERT-Zero: late interaction model trained from scratch with PyLate
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Introducing OriOn: the SOTA Long-Context Engine That Powers Agentic Search & Reason
Agentic AI starts with retrieval. It scales with long context.
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LateOn-Code & ColGrep: LightOn unveils state-of-the-art code retrieval models and code search tooling
The "Stronger Grep" for Modern Development While AI coding assistants like Claude Code have transformed how code is written, their ability to navigate large codebases efficiently is often limited by keyword-based search.
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⚪ Introducing LightOn NextPlaid
Multi-Vector Database Built for Sharper Retrieval and Frugal Inference
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🔵 LightOn opens a new field for AI with LightOnOCR-2: Document Intelligence
LightOn integrates into Paradigm a technology that beats the world state of the art: LightOnOCR-2
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RAG is Dead, Long Live RAG: Retrieval in the Age of Agents
A technical deep-dive into why retrieval-augmented generation evolved rather than died, and what intelligent retrieval looks like in 2025.
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