# Lightweight Prompt Compression Aims to Make On-Device RAG Practical

A paper proposes compressing retrieved context before it reaches the model, cutting the token load that makes retrieval-augmented question answering expensive on edge hardware.

- Published: 2026-06-23T10:45:42.576Z
- Canonical: https://polylog.news/ai/2026-06-23/lightweight-prompt-compression-aims-to-make-on-device-rag-pr
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv (cs.CL)](https://arxiv.org/abs/2606.20571)

A new preprint, "Less is More," targets prompt compression for question answering on edge devices. The setup is familiar. Agent-driven question answering uses retrieval-augmented generation (RAG) to feed extra context to a model and improve…

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