binary-husky / binary-husky/gpt_academic
[Bug]: 构建知识库,知识库文件注入 长时间未响应
- Dominant language
- Python
- Stars
- 71.3k
- Forks
- 8.3k
- PR merge metrics
- No merged PRs in 30d
Description
### Installation Method | 安装方法与平台
Pip Install (I used latest requirements.txt)
### Version | 版本
Latest | 最新版
### OS | 操作系统
Windows
### Describe the bug | 简述
上传了一个pdf,然后选择“构建知识库(先上传文件,再运行此插件)”,运行插件后,控制台出现如下输出:
```
>> from langchain_community.embeddings import HuggingFaceEmbeddings
You can use the langchain cli to **automatically** upgrade many imports. Please see documentation here
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
14:27 | 知识库文件注入 :63 | Checking Text2vec ...
No sentence-transformers model found with name GanymedeNil/text2vec-large-chinese. Creating a new one with mean pooling.
```
### Screen Shot | 有帮助的截图
控制台截图如下:
gui截图如下:
### Terminal Traceback & Material to Help Reproduce Bugs | 终端traceback(如有) + 帮助我们复现的测试材料样本(如有)
_No response_
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing the Windows workflow: upload a PDF, choose “构建知识库,” and run the plugin while watching the console around “Checking Text2vec ...”. Investigate the HuggingFaceEmbeddings model-loading step and determine whether the knowledge-base injection completes; done means the plugin finishes instead of remaining unresponsive.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100