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### Feature request / 功能建议
I saw BAAI/bge-m3 has 3 retrieval methods:
- Dense retrieval
- Sparse retrieval
- Multi-vector retrieval
I want use Multi-vector retrieval. So how could i use it throu…
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Congratulations on your impressive work! In order to reproduce your results more conveniently, could you please share your candidate documents on MS MARCO (Dense Retrieval)?
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Here is the issue, I will keep a record of all my findings as I work on the task of refining all aspects of the retrieval system on different datasets using dense retrievals.
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Recently, I completed a RAG system project, and I want to use the three retrieval methods in bge-m3. However, currently, when using BGEM3FlagModel () to load the model, errors will be reported when us…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I'm developing a hybrid search-based chat engine.To setup the retriever, I am using foll…
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A starting point could be using pyserini' dense model for Msmarco first.
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I have a somewhat silly use case. I'm running `retriever.retrieve`, with a `queries` dict with only 1 entry. However, this causes an IndexError with pytorch due to how pytorch indexes 2D arrays where …
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Very good paper.
I hope to have a detailed introduction to the "basic training form of dense retrieval" mentioned in the Distant supervision section on page 5. Does it train the query and answer of M…
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its good to support dense retrieval from multiple faiss index shard.
this would be more friendly for machine with limited RAM. (and further support GPU retrieval)
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