<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Weaviate on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/weaviate/</link><description>Recent content in Weaviate on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 03 Apr 2026 13:00:00 +0200</lastBuildDate><atom:link href="https://renezander.com/tags/weaviate/index.xml" rel="self" type="application/rss+xml"/><item><title>Qdrant vs Pinecone vs Weaviate: Production Vector DB Comparison 2026</title><link>https://renezander.com/guides/qdrant-vs-pinecone-vs-weaviate/</link><pubDate>Fri, 03 Apr 2026 13:00:00 +0200</pubDate><guid>https://renezander.com/guides/qdrant-vs-pinecone-vs-weaviate/</guid><description>&lt;p>Three vector databases keep showing up on every RAG stack in 2026: Qdrant, Pinecone, and Weaviate. I get asked which one to pick at least once a week, usually by someone who already spent two days reading benchmarks and still has no answer.&lt;/p>
&lt;p>The short version, because you have real work to do: &lt;strong>Qdrant for most self-hosted production RAG in 2026. Pinecone when the requirement is &amp;ldquo;managed, don&amp;rsquo;t touch the servers&amp;rdquo;. Weaviate when you need the extra primitives like GraphQL or the module ecosystem.&lt;/strong> I run Qdrant in production for Teedian and recommend it to most consulting clients. The reasons are below, including the edge cases where I pick something else.&lt;/p></description></item></channel></rss>