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DevOps RAG

The operational framework for automating the lifecycle of Retrieval-Augmented Generation pipelines, integrating continuous data ingestion, embedding versioning, and automated retrieval evaluation (e.g., RAGAS) into CI/CD workflows. It addresses the architectural trade-off between real-time data freshness and the computational cost/latency of frequent vector re-indexing.

Definition

The operational framework for automating the lifecycle of Retrieval-Augmented Generation pipelines, integrating continuous data ingestion, embedding versioning, and automated retrieval evaluation (e.g., RAGAS) into CI/CD workflows. It addresses the architectural trade-off between real-time data freshness and the computational cost/latency of frequent vector re-indexing.

Disambiguation

Distinguished from standard DevOps by its focus on non-deterministic outputs and the continuous synchronization of external knowledge bases with vector embeddings.

Visual Metaphor

"A living library where robots automatically re-index the entire catalog and update shelf labels every time a new book is published or an old one is edited."

Key Tools
LangSmithRAGASDVC (Data Version Control)GitHub ActionsArize PhoenixWeights & Biases
Related Connections

Conceptual Overview

The operational framework for automating the lifecycle of Retrieval-Augmented Generation pipelines, integrating continuous data ingestion, embedding versioning, and automated retrieval evaluation (e.g., RAGAS) into CI/CD workflows. It addresses the architectural trade-off between real-time data freshness and the computational cost/latency of frequent vector re-indexing.

Disambiguation

Distinguished from standard DevOps by its focus on non-deterministic outputs and the continuous synchronization of external knowledge bases with vector embeddings.

Visual Analog

A living library where robots automatically re-index the entire catalog and update shelf labels every time a new book is published or an old one is edited.

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