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layra-v2-system
SAINTHALF/layra-v2-system
layra-v2-system is a machine learning model from SAINTHALF. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for colbert. The card lists the license as mit.
LAYRA v2 is a specialized Visual RAG system designed for the ethnopharmacology of Sceletium tortuosum. It processes full PDF pages as images, preserving layout and visual information, and uses a hybrid retrieval stack.
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Updated Jan 4, 2026
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At a glance
- Library
- colbert
- License
- mit
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026
- SHA
- 82675dc8
Model card
From the Hugging Face model README
LAYRA v2 (Large Academic Visual RAG Agent)
LAYRA v2 is a specialized Visual RAG system designed for the ethnopharmacology of Sceletium tortuosum. It processes full PDF pages as images, preserving layout and visual information, and uses a hybrid retrieval stack.
Architecture
- Visual Encoder: ColQwen 2.5 (ColBERT + Qwen-VL)
- Retrieval: Hybrid (Sparse BM25 + Dense ColBERT)
- Reranking: LLM-based Reranking (Generative Listwise)
- Vector DB: Milvus 2.5.5
- Infrastructure: Docker Compose (Lean Stack)
Performance
Evaluated on SAINTHALF/kanna-rag-gold-standard:
| Metric | Score |
|---|---|
| MRR@20 | 0.7403 |
| Recall@20 | 1.0000 |
| Latency (P50) | 1.2s |
Usage
This model represents the deployed system configuration described in the thesis.
Supersedes SAINTHALF/layra-v1-hybrid.
- Library
- colbert
- License
- mit
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026