Update README.md
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				|  | @ -6,7 +6,6 @@ Built with [LangChain](https://github.com/hwchase17/langchain) and [GPT4All](htt | |||
| <img width="902" alt="demo" src="https://user-images.githubusercontent.com/721666/236942256-985801c9-25b9-48ef-80be-3acbb4575164.png"> | ||||
| 
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| # Environment Setup | ||||
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| In order to set your environment up to run the code here, first install all requirements: | ||||
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| ```shell | ||||
|  | @ -28,6 +27,14 @@ MODEL_N_CTX: Maximum token limit for both embeddings and LLM models | |||
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| Note: because of the way `langchain` loads the `LLAMMA` embeddings, you need to specify the absolute path of your embeddings model binary. This means it will not work if you use a home directory shortcut (eg. `~/` or `$HOME/`). | ||||
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| ## Setup C++ Compiler | ||||
| If you encountered an error with `pip install`, you might need to install a C++ compiler on your computer. | ||||
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 | ||||
| ### For Windows 10/11 | ||||
| Install Visual Studio 2022 along with nessesary components: Universal Windows Platform development, C++ CMake tools for Windows | ||||
| Download the MinGW installer from the [MinGW website](https://sourceforge.net/projects/mingw/) | ||||
| Run the installer and select the "gcc" component | ||||
| 
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| ## Test dataset | ||||
| This repo uses a [state of the union transcript](https://github.com/imartinez/privateGPT/blob/main/source_documents/state_of_the_union.txt) as an example. | ||||
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