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Trustworthy Retrieval Augmented Generation (RAG) with Safeguards

Project README

🦖 T-RAGS

License Python 3.7+ Code style: black PyPI - Python Version Downloads

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[May 2024 Update] Optimize your RAG pipelines for accuracy with T-RAGS (Trustworthy Retrieval Augmented Generation with Safeguards). Named aptly after T-Rex (🦖) and powered by knowledge graphs. This repo was formally Guardrail ML, a security and alignment toolkit to detect unwanted inputs and LLM outputs. More to come.

Open Source Agenda is not affiliated with "Dolly 2.0 Series" Project. README Source: safeguards-ai/T-RAGS

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