The steps to install and configure DeepSieve are listed below:
- clone warehouse: Run it in the terminal
git clone https://github.com/MinghoKwok/DeepSieve.gitThen go to the project directorycd DeepSieveThe - Installation of dependencies: Run
pip install -r requirements.txtIf not providedrequirements.txtThe core libraries can be installed manually (e.g.numpy,pandas,openai). It is recommended to use a virtual environment to avoid dependency conflicts. - Configuring Environment Variables: Set the LLM API key (e.g.
OPENAI_API_KEY) and model parameters (e.g.OPENAI_MODEL,OPENAI_API_BASE). Select the RAG mode as required (naivemaybegraph). - Verification Environment: Ensure that dependencies are installed correctly, API keys are valid, and data source paths are configured correctly.
Once you have completed the above steps, you can run DeepSieve from the command line.
This answer comes from the articleDeepSieve: a RAG Intelligent Information Screening Tool for Processing Complex Query SourcesThe
May not be reproduced without permission:AI productivity tools " How to install and configure DeepSieve?
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