RAG always needs a dedicated vector database — challenged
Hot take: you don't need a vector database for RAG. Most teams reach for a purpose-built vector store on day one because the onboarding docs tell th…
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Hot take: you don't need a vector database for RAG. Most teams reach for a purpose-built vector store on day one because the onboarding docs tell th…
If you build on the JVM and want to use Qdrant , the official client is io.qdrant:client — and it's built for Java. Every call returns a ListenableF…
I have helped a number of teams pick a vector database in the last year. The conversation always starts the same way: four logos, one Slack message,…
Built a small framework called MilvusLite Kit to make vector search and RAG workflows more configuration-driven and less code-heavy. Instead of writ…
Most comparisons of Python vector database libraries focus on retrieval speed, indexing algorithms, or benchmark results. These metrics matter, but…
Two papers. One ring. No referees. Popcorn mandatory. 12 min read · 4 parts · Published by Vektor Memory Press enter or click to view image in full…
Memory bloat, compaction loss, and a retrieval-first path: ~32% less token spend on the AppWorld dev split — without dumbing the agent down. Develop…