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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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