<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Valkey on Solanica</title><link>https://solanica.io/tags/valkey/</link><description>Recent content in Valkey on Solanica</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 19 Oct 2026 09:00:00 +0300</lastBuildDate><atom:link href="https://solanica.io/tags/valkey/index.xml" rel="self" type="application/rss+xml"/><item><title>Semantic Caching for LLMs on Kubernetes: Faster, Cheaper, and Sometimes Wrong</title><link>https://solanica.io/blog/semantic-cache-llm-valkey-kubernetes/</link><pubDate>Mon, 19 Oct 2026 09:00:00 +0300</pubDate><guid>https://solanica.io/blog/semantic-cache-llm-valkey-kubernetes/</guid><description>We put a Valkey semantic cache in front of a RAG pipeline on Kubernetes - Qwen on vLLM, MiniLM embeddings, Milvus, all deployed as OpenEverest Instances - and measured it. Cache hits answered in 88 ms instead of 4.7 s and cut LLM tokens by three quarters. Most of that came from exact repeats, and every bit of extra fuzziness bought wrong answers.</description></item></channel></rss>