Redis Vector Search

Build vector databases on Redis, with vector search combined with exact-match and full-text search.

Infrastructure by Redis

IndexedMIT★ 432

Install

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pip install redisvl

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About

Redis vector search indexes vector fields with FLAT, HNSW or SVS-VAMANA indexes and supports KNN and range queries, optionally combined with filters. Vectors can be stored in Redis hash or JSON documents.

Use cases: knowledge-base, database-access

Reviews

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Fact sheet

Category: Vector databases · database feature
Self-host: Yesredis.io
SLA: up to 99.999% uptime (Pro dedicated plan)redis.io
Works with: langgraphredis.io
Protocols: mcpraw.githubusercontent.com

Plans

Free	$0	always free, up to 30 MB, shared cloud deployment
Essentials	$5/month	from $0.007 per hour, 250 MB to 100 GB, shared deployment
Pro	$200/month	from $0.014 per hour, minimum $200 per month, dedicated and active-active

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars: 432
Forks: 113
Open issues: 30
Last commit: Oct 21, 2026 (7 days ago)
Last release: Oct 9, 2026 (19 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Packages: pypi redisvl
License: MIT
Repository: github.com/redis/redis-vl-python
Website: redis.io/solutions/vector-database/
Docs: redis.io/docs/latest/develop/ai/search-and-query/vectors/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Website Docs Pricing page README github-graphql