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API = HfApi().
Using this api I only can get littlemodel_meta.json and couldn't get some model_meta.json, such as BAAI__bge-reranker-v2-gemma and so on. So how to get enough model_meta.json?
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I am currently attempting to fine-tune bge-m3 and have been referring to the following documentation:
https://github.com/FlagOpen/FlagEmbedding/tree/master/examples/finetune/embedder#2-bge-m3
1. T…
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**问题描述 / Problem Description**
新建知识库选择milvus，但是重建向量库之后变成了faiss
**复现问题的步骤 / Steps to Reproduce**
1. 前端界面选择“新建知识库”
2. 选择类型为milvus
3. 点击新建
4. 上传自己的文档
5. 点击“依据源文件重建向量库”
6. 生成的向量库文件是.faiss后缀
*…
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import os
os.environ['CUDA_VISIBLE_DEVICES']='7'
from rag_retrieval import Reranker
ranker = Reranker('ft_bge-reranker-base',dtype='fp16',verbose=0)
ranker2 = Reranker('bge-reranker-base',dtyp…
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I have idea about dynamic import function in __init__.py
```py
embedding_models = {
"openai": LazyInit("llama_index.embeddings.openai.OpenAIEmbedding"),
"huggingface_bge_sm…
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什么时候可以支持一下 BGE-M3 的 Dense Embedding 和 Sparse Embedding
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If it was not released publicly yet, when it will be avaiable?
Thanks a lot.
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我是将历史对话存到info.db中的，通过user_id字段来存取，如果遇到报错，那么后续该user_id对话都会报错，清理info.db中的历史记录后就没问题了或者换一个user_id在对话也没问题，我判断是get历史记录后的格式有问题
**环境信息 / Environment Information**
- Langchain-Chatchat 版本 / commit 号：V0.2.9…
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## Current state:
OpenAI embedding take too long to respond (2-3 seconds sometimes)
## Expected Behaviour
All docs stored as BGE-small vectors and self hosted BGE-small used to retrieve fro…
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### Priority
Undecided
### OS type
Ubuntu
### Hardware type
CPU-other (Please let us know in description)
### Installation method
- [X] Pull docker images from hub.docker.com
- [ ] Build docker…