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Developer details $1.53 RAG pipeline construction and evaluation

A developer detailed the construction and evaluation of a retrieval-augmented generation (RAG) system. The system was built using a 19-document safety corpus and deployed via an API. The developer conducted approximately fourteen evaluations of the RAG pipeline. AI

IMPACT Provides a low-cost example of building and evaluating a RAG system for practical application.

RANK_REASON The item describes the implementation of a specific RAG pipeline, which is a technical tool or method.

Read on Medium — MLOps tag →

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Developer details $1.53 RAG pipeline construction and evaluation

COVERAGE [1]

  1. Medium — MLOps tag TIER_1 English(EN) · Fernando Sanabria ·

    The $1.53 RAG pipeline

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@ing.fernandosanabria/the-1-53-rag-pipeline-2b1e5f2d029d?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/2600/1*FNZALo3ta2s7uftF6NlUoQ.png" width="2752" /></a></p><p clas…