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Tactic: RAG Pipeline Parallelism

Tactic sort: Awesome Tactic
Type: Architectural Tactic
Category: green-ml-enabled-systems
Tags: energy-footprint  machine-learning  performance 

Title

RAG Pipeline Parallelism

Description

Pipeline Parallelism executes different stages of retrieval, encoding, and generation concurrently, rather than sequentially. This reduces idle computation time, leading to higher energy efficiency. PipeRAG has been proposed.

Participant

AI and RAG Practitioners.

Related software artifact

RAG-Based Systems.

Context

RAG. Unsustainable RAG. Green AI.

Software feature

PipeRAG.

Tactic intent

Environmentally Sustainable RAG and through energy efficiency and reduction of computational waste.

Target quality attribute

Energy Efficiency.

Other related quality attributes

< unknown >

Measured impact

< unknown >

Source

Improving The Environmental Sustainability of RAG-Based Systems: A Rapid Review by Zhinuan Guo


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel