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Document Chatbot — multiple files. Powered by GPT / Embedding.

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错误log: ` from llm import get_index_by_index_name File "/Users/axzq/code/python/ChatFiles/chatfiles/llm.py", line 18, in service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor) File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/llama_index/indices/service_context.py", line 71, in from_defaults embed_model = embed_model or OpenAIEmbedding() File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/llama_index/embeddings/openai.py", line 209, in...

我在dockerfiles已经添加了安装pytorch和TensorFlow的指令。 但是在运行docker镜像的时候,依然会提示"没有构建“pytorch或者TensorFlow”的信息。

在本地端分別運行 chatfiles-ui 與 chatfiles 已經在 /chatfiles 下建好 .env,並設定 OPENAI_API_KEY=XXXXX 但運行起來後又方文字提示 OpenAI API Key Required 到左下角將 Key 輸入後仍顯示 Error fetching models. Make sure your OpenAI API key is set in the...

如题,另外想知道「上传多个文件,构建同一个 Index,然后与之对话。」这个feature大概什么时候能好,或者说告诉下我实现原理,我自己试试看,多谢~

It's straightforward, using [low-rank approximation](https://en.wikipedia.org/wiki/Low-rank_approximation), [low-rank matrix factorization](https://www.sciencedirect.com/science/article/abs/pii/S0925231217315710#:~:text=The%20purpose%20of%20low%2Drank,the%20interactions%20between%20two%20entries.). Given a model and its fine-tuning, and a target rank $k$, extract the "best" low-rank approximation to each difference in the model...

已经在文件中设置了代理域名,docker中启动为什么访问还会报错呢?本地启动就没问题。很是奇怪。 export const OPENAI_API_HOST = process.env.OPENAI_API_HOST || 'balabala.xyz';

Could you make it support Azure OpenAI API?

was trying to run the app locally, got this: ![image](https://user-images.githubusercontent.com/28980017/230515640-841b870b-030a-4a53-83e2-f688910d8461.png) followed each step as specified: `cd chatfiles-ui npm install npm run dev cd chatfiles python3 server.py` my OS is Ubuntu...