Caching based RAG primitives
Project description
rager
Caching based RAG primitives — composable building blocks for retrieval-augmented generation with caching baked in.
Install
uv add rager
Getting started
uv run pytest
uv run prek install
uv add rager pulls the CPU torch build from PyPI. For GPU (CUDA/ROCm) torch, add the matching PyTorch index to your own project and install torch from it — those builds aren't on PyPI.
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