# Vector search database: news & 2026 guide

DevFeed: [Vector search database: news & 2026 guide](<https://devfeed.tech/articles/vector-search-database-news-2026-guide-4860.md>)

Original publisher: [Read original article](<https://redis.io/blog/vector-search-database-news-2026-guide/>)

Author: Simran Regmi

Published: 2026-08-13T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Database](<https://devfeed.tech/topics/database.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [ann](<https://devfeed.tech/topics/ann.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>)

Tags: [ann](<https://devfeed.tech/tags/ann.md>), [database](<https://devfeed.tech/tags/database.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [guide](<https://devfeed.tech/tags/guide.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [search](<https://devfeed.tech/tags/search.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

This guide explains how vector search databases store embeddings and retrieve semantically similar items for LLM-powered applications. It covers vector spaces, dimensionality, similarity measures, traditional indexes, the curse of dimensionality, and approximate nearest neighbor search, including HNSW.

## Source excerpt

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...