OpenConceptLab/ocl_issues#2388 | custom encoder model for reranking

[snyaggarwal]

Linked Issue

Ref OpenConceptLab/ocl_issues#2388

[paynejd]

Review — OpenConceptLab/ocl_issues#2388

1. Add drop-in models to ENCODER_MODEL_OPTIONS with descriptions

Currently rerankerModels.js only has the default. Add 3 additional drop-in compatible models (no backend code changes needed — these all work with the existing CrossEncoder in sentence-transformers 3.3.1):

exportconstENCODER_MODEL_OPTIONS=[{id: 'BAAI/bge-reranker-v2-m3',description: 'Multilingual, general-purpose (0.6B)',},{id: 'cross-encoder/ms-marco-MiniLM-L-6-v2',description: 'Fast and lightweight, English-only (23M)',},{id: 'ncbi/MedCPT-Cross-Encoder',description: 'Biomedical domain, trained on PubMed (110M)',},{id: 'Alibaba-NLP/gte-reranker-modernbert-base',description: 'Balanced quality, supports longer descriptions (149M)',},]

This changes the data shape from string array to object array, so RerankerConfig.jsx needs updating to use option.id and display option.description in the dropdown. Each model offers a genuinely different tradeoff:

• ms-marco-MiniLM: 27x smaller than default, ~10x faster — good for latency-critical or large batch runs
• MedCPT: only biomedical-domain cross-encoder available, trained on 18M PubMed query-article pairs — most relevant for health terminology mapping
• gte-modernbert: near-default quality at 4x smaller, 8192 token context window (vs 128 default) for longer concept descriptions

2. Log the encoder model on rerank events

At line 2226, the rerank_finished log should include which model was used:

log({action: 'rerank_finished',description: `Reranked with ${encoderModel}`},index)

Same for rerank_failed at line 2231:

log({action: 'rerank_failed',description: `Rerank failed with ${encoderModel}`},index)

This is visible in the row's Discuss/log panel and persists with the project — important for debugging and reproducibility when users are experimenting with different models.

3. Fix prop naming inconsistency

MapProject.jsx passes rerankerConfig={encoderModel} and setRerankerConfig={setEncoderModel} to ConfigurationForm, but the value is a plain string, not a config object. The naming is misleading. Suggest renaming to encoderModel/setEncoderModel or rerankerModel/setRerankerModel throughout.

4. Fix Spanish translation accents

In es/translations.json:

• "Configuracion del reranker" → "Configuración del reranker"
• "automaticamente" → "automáticamente"

5. Coordinate Closes keyword with oclapi2#839

Both PRs say "Closes OpenConceptLab/ocl_issues#2388". Whichever merges first will auto-close the issue prematurely. Suggest this PR (oclmap) keeps the Closes since it's the user-facing final piece, and oclapi2#839 changes to Ref #2388.

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Related follow-up tickets filed:

• OpenConceptLab/ocl_issues#2463 — Upgrade sentence-transformers from 3.3.1 to 5.4+
• OpenConceptLab/ocl_issues#2464 — Add Qwen3-Reranker models (blocked by #2463)

[snyaggarwal]

Done 1 and 2. Rest are accepted

[paynejd]

Follow-up review — items 3, 4, 7, 8

Code suggestions below — you can accept these directly from GitHub.

Item 6 (Qwen3-Reranker-0.6B): confirmed backend is on sentence-transformers==5.4.0 — no issue, 0.6B is fine enabled.

Item 5 (Closes keyword coordination with oclapi2#839): still outstanding — please check.