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Provide more context in docs for self-hosting Khoj on Windows
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@ -59,6 +59,7 @@ Khoj uses the `pgvector` package to store embeddings of your index in a Postgres
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Install [Postgres.app](https://postgresapp.com/). This comes pre-installed with `pgvector` and relevant dependencies.
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Install [Postgres.app](https://postgresapp.com/). This comes pre-installed with `pgvector` and relevant dependencies.
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</TabItem>
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</TabItem>
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<TabItem value="win" label="Windows">
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<TabItem value="win" label="Windows">
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For detailed instructions and troubleshooting, see [this section](/contributing/development#2-postgres-installation--setup).
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1. Use the [recommended installer](https://www.postgresql.org/download/windows/).
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1. Use the [recommended installer](https://www.postgresql.org/download/windows/).
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2. Follow instructions to [Install PgVector](https://github.com/pgvector/pgvector#windows) in case you need to manually install it. Windows support is experimental for pgvector currently, so we recommend using Docker.
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2. Follow instructions to [Install PgVector](https://github.com/pgvector/pgvector#windows) in case you need to manually install it. Windows support is experimental for pgvector currently, so we recommend using Docker.
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</TabItem>
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@ -117,13 +118,14 @@ python -m pip install khoj-assistant
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```
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```
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</TabItem>
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<TabItem value="win" label="Windows">
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<TabItem value="win" label="Windows">
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In PowerShell on Windows
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```shell
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```shell
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# 1. (Optional) To use NVIDIA (CUDA) GPU
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# 1. (Optional) To use NVIDIA (CUDA) GPU
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$env:CMAKE_ARGS = "-DLLAMA_OPENBLAS=on"
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$env:CMAKE_ARGS = "-DLLAMA_OPENBLAS=on"
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# 1. (Optional) To use AMD (ROCm) GPU
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# 1. (Optional) To use AMD (ROCm) GPU
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CMAKE_ARGS="-DLLAMA_HIPBLAS=on"
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$env:CMAKE_ARGS = "-DLLAMA_HIPBLAS=on"
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# 1. (Optional) To use VULCAN GPU
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# 1. (Optional) To use VULCAN GPU
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CMAKE_ARGS="-DLLAMA_VULKAN=on"
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$env:CMAKE_ARGS = "-DLLAMA_VULKAN=on"
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# 2. Install Khoj
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# 2. Install Khoj
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py -m pip install khoj-assistant
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py -m pip install khoj-assistant
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