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Veridex
RAG evaluation framework using RAGAS and FAISS
PythonRAGASFAISSChromaDBClick2025
Veridex is a CLI-driven RAG evaluation framework that provides a repeatable workflow for benchmarking retrieval pipelines. It ingests documents into chunks, builds FAISS or ChromaDB vector stores, runs retrieval queries against ground-truth datasets, and generates evaluation metrics using RAGAS including faithfulness, answer relevancy, and context precision. Built to make RAG quality measurement systematic rather than ad hoc.