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First reasoning-enhanced ColBERT for code search

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  # Reason-Code-ModernColBERT
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- A **ColBERT (late-interaction) model for code search and retrieval**, trained with reasoning-enhanced synthetic queries.
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- Extends the [ReasonIR methodology](https://arxiv.org/abs/2504.20595) to the code domain — generating reasoning-intensive queries that require understanding algorithms, edge cases, and design patterns, not just keyword matching. See also [LateOn-Code](https://huggingface.co/lightonai/LateOn-Code) by LightOn AI for another ColBERT approach to code search using direct fine-tuning on CoIR data.
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  ## Why Reasoning-Enhanced Training for Code?
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  # Reason-Code-ModernColBERT
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+ The **first reasoning-enhanced ColBERT model for code search and retrieval**.
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+ Extends the [ReasonIR methodology](https://arxiv.org/abs/2504.20595) to the code domain — generating reasoning-intensive queries that require understanding algorithms, edge cases, and design patterns, not just keyword matching. Built on research from [LightOn AI](https://huggingface.co/lightonai) (ColBERT for code) and [Facebook Research](https://github.com/facebookresearch/ReasonIR) (reasoning-enhanced retrieval).
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  ## Why Reasoning-Enhanced Training for Code?
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