Ysen1903/RAG_Engine

A professional Retrieval-Augmented Generation (RAG) pipeline designed for efficient document interrogation and semantic search. This engine leverages state-of-the-art language models and vector databases to provide accurate, context-aware answers based on private PDF documents.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 1 / 25
Maturity 3 / 25
Community 0 / 25

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Language

Python

License

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Category

evaluation

Last pushed

Feb 07, 2026

Commits (30d)

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GitHub
Evaluation · 41 tools

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