A plain guide to vector databases: what they are, how similarity search works, why RAG and AI search need them, when you actually need one, and how to choose.

What Are Vector Databases and Why Does AI Need Them? Introduction Generative AI can answer questions, summarize documents, and help people find information. However, AI applications often need relevan...

A model can be perfectly engineered and still be wrong by design. Here is why AI security has to start with the data, and what that looks like in practice.

本記事の第1部は、ZillizのCustomer StoryHow MiniMax Scales Real-Time AI and Trillion-Scale Deduplication with Zilliz Cloudの紹介です。 第2部は、公開情報をもとに日本のL...

Agentic memory you can trust via any method you decide to use it.

🏃 TL;DR It's been a while since I wrote an article that wasn't about KiroGraph! Lately,...

Most teams adding semantic search do not need a separate vector database. A practical 2026 guide to what pgvector actually does, the four mechanisms that make it run out, and what you are really buying when you pay for a dedicated engine.

YouTube video by Exclusivert

Learn how to build a secure, private business knowledge base using AI RAG architecture. Eliminate chatbot memory limits with vector databases & privat

In 1985, the British musicologist Clive Wearing suffered a severe viral infection that damaged his hippocampus, the brain structure…

Your application data lives in DynamoDB. Orders, products, customers all of it. Now you want users...

데이터 처리가 복잡해진 요즘, 정형화된 데이터만으로는 AI의 언어를 이해하기 어려운 시대가 왔습니다. 수많은 정보를 쏟아내는 환경 속에서 차세대 기술로 주목받는 Vector 데이터베이스를 활용하면 데이터의 의미를 파악하는 속도가 비약적으로 빨라지곤 하더라고요. 단순히 텍스트를

방대한 데이터를 다루는 개발자라면 한 번쯤 벡터 데이터베이스 도입을 고민하게 됩니다. 특히 Weaviate는 오픈 소스 기반의 강력한 검색 기능을 제공하지만, 프로젝트의 규모나 팀의 기술 스택에 따라 더 적합한 선택지가 있을 수 있습니다. 무턱대고 유명한 툴을 선택하기보다, 왜 내

Explore this post and more from the vectordatabase community

As the technological landscape evolves, vector database hosting is quickly becoming a core infrastructure decision for AI companies, and iT4iNT Servers helps businesses build the low-latency, scalable foundations needed to make their AI applications more useful, accurate, and responsive.  Even though for years the AI conversation focused on models, which were bigger, faster, smarter, or cheaper, in 2026, the competitive... The post What Is a Vector Database, and Why Does Every AI Company Suddenly Need One? appeared first on iT4iNT SERVER.