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https://github.com/RYDE-WORK/Langchain-Chatchat.git
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6eab501baf
@ -52,10 +52,10 @@ OpenAI GPT API 的调用,并将在后续持续扩充对各类模型及模型 A
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🚩 本项目未涉及微调、训练过程,但可利用微调或训练对本项目效果进行优化。
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🌐 [AutoDL 镜像](https://www.codewithgpu.com/i/chatchat-space/Langchain-Chatchat/Langchain-Chatchat) 中 `v13`
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版本所使用代码已更新至本项目 `v0.2.9` 版本。
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🌐 [AutoDL 镜像](https://www.codewithgpu.com/i/chatchat-space/Langchain-Chatchat/Langchain-Chatchat) 中 `v14`
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版本所使用代码已更新至本项目 `v0.2.10` 版本。
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🐳 [Docker 镜像](registry.cn-beijing.aliyuncs.com/chatchat/chatchat:0.2.6) 已经更新到 ```0.2.7``` 版本。
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🐳 [Docker 镜像](registry.cn-beijing.aliyuncs.com/chatchat/chatchat:0.2.7) 已经更新到 ```0.2.7``` 版本。
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🌲 一行命令运行 Docker :
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@ -189,7 +189,7 @@ $ python startup.py -a
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[](https://t.me/+RjliQ3jnJ1YyN2E9)
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### 项目交流群
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<img src="img/qr_code_87.jpg" alt="二维码" width="300" />
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<img src="img/qr_code_88.jpg" alt="二维码" width="300" />
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🎉 Langchain-Chatchat 项目微信交流群,如果你也对本项目感兴趣,欢迎加入群聊参与讨论交流。
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@ -61,7 +61,7 @@ The main process analysis from the aspect of document process:
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🚩 The training or fine-tuning are not involved in the project, but still, one always can improve performance by do
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these.
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🌐 [AutoDL image](https://www.codewithgpu.com/i/chatchat-space/Langchain-Chatchat/Langchain-Chatchat) is supported, and in v13 the codes are update to v0.2.9.
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🌐 [AutoDL image](https://www.codewithgpu.com/i/chatchat-space/Langchain-Chatchat/Langchain-Chatchat) is supported, and in v14 the codes are update to v0.2.10.
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🐳 [Docker image](registry.cn-beijing.aliyuncs.com/chatchat/chatchat:0.2.7) is supported to 0.2.7
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@ -191,7 +191,7 @@ please refer to the [Wiki](https://github.com/chatchat-space/Langchain-Chatchat/
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### WeChat Group
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<img src="img/qr_code_87.jpg" alt="二维码" width="300" height="300" />
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<img src="img/qr_code_88.jpg" alt="二维码" width="300" height="300" />
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### WeChat Official Account
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@ -151,7 +151,7 @@ $ python startup.py -a
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### WeChat グループ
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<img src="img/qr_code_67.jpg" alt="二维码" width="300" height="300" />
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<img src="img/qr_code_88.jpg" alt="二维码" width="300" height="300" />
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### WeChat 公式アカウント
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@ -64,4 +64,4 @@ streamlit-modal==0.1.0
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streamlit-aggrid==0.3.4.post3
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httpx==0.26.0
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watchdog==3.0.0
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jwt==1.3.1
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pyjwt==2.8.0
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@ -38,6 +38,7 @@ transformers_stream_generator==0.0.4
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vllm==0.2.7; sys_platform == "linux"
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httpx==0.26.0
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llama-index==0.9.35
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pyjwt==2.8.0
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# jq==1.6.0
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# beautifulsoup4~=4.12.2
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@ -20,6 +20,7 @@ requests~=2.31.0
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pathlib~=1.0.1
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pytest~=7.4.3
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llama-index==0.9.35
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pyjwt==2.8.0
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dashscope==1.13.6
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arxiv~=2.1.0
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