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Beschreibung
Summary
The Python SDK supports HuggingFace as an embedding provider, but the TypeScript OSS SDK (mem0ai/oss) does not. Add it to bring the TS SDK to parity.
| Python reference | mem0/embeddings/huggingface.py |
| Registered in (Python) | mem0/utils/factory.py (EmbedderFactory) |
| Target file (TypeScript) | mem0-ts/src/oss/src/embeddings/huggingface.ts |
| Suggested implementation | API mode: @huggingface/inference. Optional local mode: @huggingface/transformers (transformers.js). |
Requirements
- Implement
HuggingFaceEmbedderinmem0-ts/src/oss/src/embeddings/huggingface.ts, extendingEmbedder(mem0-ts/src/oss/src/embeddings/base.ts) and mirroring the Python provider's behavior (embed / embedBatch). - Register the
"huggingface"provider inmem0-ts/src/oss/src/utils/factory.ts(EmbedderFactory). - Add config typing in
mem0-ts/src/oss/src/types/. - Add a unit test under
mem0-ts/src/oss/src/tests/. - Add
@huggingface/inferencetomem0-ts/package.json(optional/peer dependency, lazy-imported like other providers). - Update docs under
docs/if this provider is user-facing.
Reference pattern
Mirror an existing TS provider: embeddings/openai.ts.
Notes
Python defaults to LOCAL sentence-transformers. Start with the HF Inference API for hosted-model parity; a local transformers.js path can follow. Document which models are supported.
Part of the TypeScript ↔ Python SDK provider-parity effort. One provider per issue (atomic).