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Data quality: Editorially Reviewed
Retrieval & data layer
Vector Databases
Software & technology
Workflow orchestration
Self-hosted / on-premises
Freemium
SaaS (vendor-hosted)
Retrieval & semantic search

Redis Vector Search

Vector Databases

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Overview

Redis Vector Search extends Redis with vector similarity search capabilities, enabling real-time embedding storage and retrieval within the Redis in-memory data store. It supports HNSW and FLAT indexing, multiple distance metrics, hybrid queries combining vectors with Redis query commands, and is available as Redis Stack or Redis Cloud.

Pricing model
Freemium
Deployment
SaaS (vendor-hosted), Self-hosted / on-premises
Regions served
Global
Categories
Retrieval & data layer, Vector Databases, Software & technology, Workflow orchestration, Self-hosted / on-premises, Freemium, SaaS (vendor-hosted), Retrieval & semantic search
Last updated
2 October 2026
Published
2 October 2026

Use cases

Workflow orchestration

Deployment options

SaaS (vendor-hosted)
Self-hosted / on-premises

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
redis.io
Sources cited
2
Last reviewed
28 September 2026
Last updated
2 October 2026

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Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.

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