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Wraps `@huggingface/transformers@^4.1.0` to score query / passage pairs in-process via the BAAI BGE family of cross-encoder models. Automatic model selection from the agent locale: `'en'` default","maintainers":[{"name":"o-stepper","email":"step.oleksiy@gmail.com"}],"readme":"# @graphorin/reranker-transformersjs\n\n> Cross-encoder reranker adapter for the\n> [Graphorin](https://github.com/o-stepper/graphorin) framework. Wraps\n> [`@huggingface/transformers`](https://www.npmjs.com/package/@huggingface/transformers)\n> to score `(query, passage)` pairs with a BGE cross-encoder running\n> entirely in-process. Implements the `ReRanker` contract from\n> `@graphorin/memory/search`.\n>\n> Project Graphorin · v0.15.1 · MIT License · © 2026 Oleksiy Stepurenko ·\n> <https://github.com/o-stepper/graphorin>\n\n---\n\n## Status\n\n- **Published:** v0.15.1 (optional sub-pack)\n- **Default model:** locale-aware (`Xenova/bge-reranker-base` for\n  English, `BAAI/bge-reranker-v2-m3` for everything else).\n- **Default precision:** device-aware (`defaultRerankerDtype`) - `'q8'`\n  on CPU, `'fp16'` on accelerated devices such as `'webgpu'`. The fp16\n  ONNX exports of the default models fail session initialisation on the\n  onnxruntime-node CPU execution provider, so fp16 is not offered as a\n  CPU default; pass an explicit `dtype` to override.\n- **Default device:** CPU.\n- **Scoring:** raw `AutoModelForSequenceClassification` logits -\n  sigmoid for single-logit heads (the default BGE exports), positive\n  label softmax probability for multi-logit heads. The\n  text-classification pipeline is deliberately bypassed: it softmaxes\n  each row, which collapses a single-logit head to a constant `1.0`\n  for every pair. Injected `pipelineFactory` stubs keep the\n  classifier-pipeline contract.\n\n---\n\n## Install\n\n```bash\npnpm add @graphorin/reranker-transformersjs @huggingface/transformers\n```\n\n### Known advisory: adm-zip via onnxruntime-node\n\n`npm audit` flags a high advisory\n([GHSA-xcpc-8h2w-3j85](https://github.com/advisories/GHSA-xcpc-8h2w-3j85))\nin this package's chain:\n`@huggingface/transformers -> onnxruntime-node -> adm-zip@0.5.x`.\n`adm-zip` runs only inside `onnxruntime-node`'s install script to\nunpack its own release archives - the runtime never parses foreign ZIP\nfiles - and every current `onnxruntime-node` release pins the\nvulnerable range, so no dependency bump resolves it today. Until\nupstream moves, add the verified one-line override to your\napplication's root manifest (`npm audit --omit=dev` then comes back\nclean; the install scripts and runtime work unchanged):\n\n```jsonc\n// npm / bun: package.json\n{ \"overrides\": { \"adm-zip\": \"^0.6.0\" } }\n```\n\n```jsonc\n// pnpm: package.json\n{ \"pnpm\": { \"overrides\": { \"adm-zip@<0.6.0\": \">=0.6.0 <1\" } } }\n```\n\nFull analysis in the\n[security guide](https://docs.graphorin.com/guide/security); the\nscheduled published-consumer audit tracks the advisory against a\nreviewed allowlist and fails if the exposure ever widens.\n\n### Known advisory: sharp under transformers.js\n\n`npm audit` also flags a high advisory\n([GHSA-f88m-g3jw-g9cj](https://github.com/advisories/GHSA-f88m-g3jw-g9cj))\nin the chain `@huggingface/transformers -> sharp@0.34.x` (inherited\nlibvips image-decoding CVEs; patched in `sharp@0.35.0`). `sharp` is\ntransformers.js's image-input path - this package runs text-only\npipelines and never feeds image files through `sharp` - but upstream\npins `sharp ^0.34.5`, so no dependency bump resolves it today. Until\nupstream widens the range, add the verified override next to the\n`adm-zip` one (text pipelines and native loading work unchanged on\n`sharp@0.35.3`):\n\n```jsonc\n// npm / bun: package.json\n{ \"overrides\": { \"sharp\": \"^0.35.0\" } }\n```\n\n```jsonc\n// pnpm: package.json\n{ \"pnpm\": { \"overrides\": { \"sharp@>=0.30.0 <0.35.0\": \">=0.35.0 <0.36\" } } }\n```\n\nThe first call to `rerank(...)` lazily downloads the reranker weights\ninto the Hugging Face cache directory (`~/.cache/huggingface/hub` by\ndefault; honours `GRAPHORIN_CACHE_DIR`). To pre-warm in CI:\n\n```bash\nnode -e \"import('@graphorin/reranker-transformersjs').then(m => m.createCrossEncoderReranker({ locale: 'en' }).rerank('warmup', [[]], {}))\"\n```\n\n---\n\n## Usage\n\n### Drop-in replacement for the built-in RRF reranker\n\n```ts\nimport { createMemory } from '@graphorin/memory';\nimport { createCrossEncoderReranker } from '@graphorin/reranker-transformersjs';\n\nconst memory = createMemory({\n  store,\n  embedder,\n  reranker: createCrossEncoderReranker({ locale: 'en' }),\n});\n```\n\n### Multilingual deployment\n\n```ts\nconst reranker = createCrossEncoderReranker({\n  locale: 'pt-BR',\n  // Falls back to BAAI/bge-reranker-v2-m3 (568M, multilingual).\n});\n```\n\n### Override the model explicitly\n\nFor narrow language-pair scenarios (e.g. CJK, low-resource European\nlanguages) plug in a specialised cross-encoder of your choice:\n\n```ts\nconst reranker = createCrossEncoderReranker({\n  model: 'cross-encoder/ms-marco-MiniLM-L-6-v2',\n  dtype: 'q8',\n});\n```\n\n### Idle eviction (bound resident memory)\n\n```ts\n// Drop the loaded ONNX session after 10 minutes of inactivity.\nconst reranker = createCrossEncoderReranker({\n  locale: 'en',\n  idleEvictionMs: 10 * 60 * 1000,\n});\n```\n\n### Custom passage extractor\n\nThe default extractor walks `text → summary → value → label → id`.\nOverride when your custom `MemoryRecord` schema attaches the canonical\ntext elsewhere:\n\n```ts\nconst reranker = createCrossEncoderReranker<MyRecord>({\n  passageExtractor: (record) => `${record.title}. ${record.body}`,\n});\n```\n\n---\n\n## Acceptance criteria\n\n- [x] Reranks fixture results.\n- [x] Locale auto-pick verified (`'en' → bge-reranker-base`, every\n      other locale → `bge-reranker-v2-m3`).\n- [x] Lazy load + idle unload works.\n- [x] Implements `ReRanker` from `@graphorin/memory/search`.\n\n---\n\n## Related decisions\n\n- ADR-024 - Reciprocal Rank Fusion default + pluggable rerankers.\n\n---\n\n## License\n\nMIT © 2026 Oleksiy Stepurenko\n\n---\n\n**Project Graphorin** · v0.15.1 · MIT License · © 2026 Oleksiy Stepurenko · <https://github.com/o-stepper/graphorin>\n","readmeFilename":"README.md"}