Comments (2)
Hi,
The dense retriever should work out-of-the-box by providing a multilingual model, such as this one sentence-transformers/distiluse-base-multilingual-cased-v1
, or a model specifically trained for Chinese.
I think the sparse retriever works if you provide custom stemmer and tokenizer (if needed).
A Chinese stop-word list is already provided.
Let me know if you have any luck!
Elias
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Related Issues (20)
- BM25 time complexity HOT 1
- Doc strings HOT 4
- I would like to see `retriv` part of the Search Benchmark, the Game
- [Feature Request] Allow GPU for query embedding HOT 1
- Minimal example for Hybrid Search fails HOT 3
- Input file format HOT 2
- [Feature Request] Add documents to index after initializing? HOT 1
- Multiprocess error triggers while trying example code HOT 3
- [BUG] Corrupted log when using SearchEngine HOT 9
- Does Advanced Retrieve support semantic searching? HOT 1
- [Feature Request] build index on a sequence of json/jsonl files HOT 3
- Compare retriv's permance to rank_bm25 and pyserini HOT 4
- HybridRetriever raise KeyError: -1 if the len of doc less than 1_000 HOT 1
- autotune Function Usage Example HOT 1
- ANN_Searcher not dealing with -1 returned by faiss_index.search()
- fsspec==2023.12.2 does not allow '**' in path
- HybridRetriever does not respect cutoff when calling sub-retrievers and the merger
- [BUG] Segmentation fault (core dumped) HOT 1
- Getting Out of Memory Error HOT 1
- using another ANN
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