AI Navigate

Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines

Towards Data Science / 3/20/2026

💬 OpinionTools & Practical Usage

Key Points

  • It outlines caching layers across the RAG pipeline, from query embeddings to the reuse of full query–response results.
  • It presents five additional cache targets in RAG pipelines, aiming to improve latency and cost efficiency.
  • It discusses practical considerations for implementing caches, including invalidation and coherence across different parts of the pipeline.
  • It offers guidance on choosing caching strategies based on workload characteristics and data freshness requirements.

A practical guide to caching layers across the RAG pipeline, from query embeddings to full query-response reuse

The post Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines appeared first on Towards Data Science.