The installation steps for DeepSieve are listed below:
- Cloning GitHub repositories:
git clone https://github.com/MinghoKwok/DeepSieve.git - Go to the project catalog:
cd DeepSieve - Install the dependencies:
pip install -r requirements.txtor manually install the core libraries - It is recommended to use a virtual environment to avoid dependency conflicts
Required when configuring the environment:
- Setting Big Language Model API Keys and Environment Variables
- Select RAG type (Naive or Graph) according to requirements
- Verify environment correctness, check API key validity
- If you are using a custom data source, you need to configure the data file path correctly.
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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