Vector search database: news & 2026 guide

Redis Blog2026-08-13 08:000 views

If you've built anything on top of an LLM in the past couple of years, you may have hit the wall many builders hit: the model writes fluently but has no view into your data. A vector search database helps close that gap. It stores vector embeddings an...

Source：https://redis.io/blog/vector-search-database-news-2026-guide/

My favorites

PreviousVector search in production: index trade-offs, failure modes & what to watch NextFresh context: change data capture, not batch ETL

The one-line SQL query that broke code review

I once reviewed a pull request where the entire database migration was one line. Four hundred and twelve characters of S

0dev.to

Migrating Ansible roles to Python: a library-level translation target

Abstract When a large language model rewrites an Ansible role in ordinary Python, the result typically executes but does

0dev.to

A Practical Checklist for Normalizing Birth Time

A recorded birth time is not automatically the time used by a solar-time system. The clock on a birth certificate usuall

0dev.to Data

DDEV, Lando & Valet+DBngin vs Native Swift on Apple Silicon: Fixing Port 3306/6379 Conflicts & VirtioFS Lag

Disclosure: I built Stratos and open-sourced the MIT helper scripts linked below. Every macOS PHP and Laravel developer

0dev.to PHP

Backend Development Roadmap: From Beginner to Job Ready Developer

Introduction Backend development is one of the most important parts of modern web applications. While frontend developme

0dev.to Beginners

Your agent bill isn't decided by the model price. It's decided by your repeat rate.

Your agent bill isn't decided by the model price. It's decided by your repeat rate. A 20-step agent task re-sends its co

0dev.to TypeScript