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Utilities for running multiple graph processing tasks simultaneously to improve efficiency.
Distinct from Parallel Data Transformation: Distinct from Parallel Data Transformation: focuses specifically on graph-based extractors and builders.
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Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and autonomous agent workflows. It provides a comprehensive suite of tools for benchmarking system outputs, utilizing language models as automated judges to score performance against defined rubrics and reference data. By standardizing inputs, retrieved contexts, and generated responses into a unified schema, the project enables consistent analysis across complex AI applications. The framework distinguishes itself through its ability to generate synthetic test datasets from existin
Runs multiple graph processing tasks simultaneously to improve efficiency when applying extractors or builders.