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Research And Development

R&D
Overview

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 publications

Recent R&D Posts

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Day Zero of Multi-Vector Retrieval

Introducing ColBERT-Zero: late interaction model trained from scratch with PyLate

February 19, 2026
R&D

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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.

February 18, 2026
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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.

February 12, 2026
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⚪ Introducing LightOn NextPlaid

Multi-Vector Database Built for Sharper Retrieval and Frugal Inference

February 10, 2026
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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

January 19, 2026
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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.

November 12, 2025
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LightOnOCR-1B: Making Knowledge Machine-Readable

Introducing LightOnOCR-1B, a 1B parameter vision language model for OCR that pushes the Pareto frontier.

October 23, 2025
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LightOn’s Multi-Vector Retrieval Revolution: From Research to Production

Discover how LightOn’s late-interaction stack, ModernBERT, PyLate, and FastPlaid,is transforming semantic search and AI retrieval from academic theory into real-world production systems

August 25, 2025
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FastPlaid: Bringing Multi-Vector Search to Production Scale

FastPlaid is LightOn’s open-source Rust engine for late-interaction retrieval. Version 1.10.0 adds incrementally-updatable indexes—6.5× faster than Stanford PLAID—so your RAG, recommender or search pipeline can evolve in real time without downtime.

August 14, 2025
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