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2025-05-19 13:30:22 +00:00
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docs/retriever.md
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@@ -2,7 +2,7 @@
## Search Engine
In this document, we provide examples of how to launch different retrievers, including local sparse retriever (e.g., BM25), local dense retriever (e.g., e5) and online search engine.
For local retrievers, we use [wiki-18](https://huggingface.co/datasets/PeterJinGo/wiki-18-corpus) corpus as an example and the corpus indexing can be found at [bm25](https://huggingface.co/datasets/PeterJinGo/wiki-18-bm25-index), [e5-flat](https://huggingface.co/datasets/PeterJinGo/wiki-18-e5-index), [e5-HNSW64](PeterJinGo/wiki-18-e5-index-HNSW64).
For local retrievers, we use [wiki-18](https://huggingface.co/datasets/PeterJinGo/wiki-18-corpus) corpus as an example and the corpus indexing can be found at [bm25](https://huggingface.co/datasets/PeterJinGo/wiki-18-bm25-index), [e5-flat](https://huggingface.co/datasets/PeterJinGo/wiki-18-e5-index), [e5-HNSW64](https://huggingface.co/datasets/PeterJinGo/wiki-18-e5-index-HNSW64).
### How to choose the retriever?