LLM InfrastructureOpen Source✦ Free Tier

Redis Vector

In-memory vector search built into Redis — no separate DB needed

23,000 stars● Health 80ActiveApp Infrastructure

About

Redis Vector Search adds native vector similarity search to Redis, enabling low-latency semantic search on data already in Redis. With Redis Stack, you get vector indexing, hybrid search, and filtering alongside your existing caching and pub/sub workloads.

Choose Redis Vector when…

  • already using Redis in your stack
  • need sub-millisecond vector search latency
  • want vector search without adding another infrastructure component

Builder Slot

What knowledge does your AI have?Optional for most stacks

The memory layer — stores and retrieves vector embeddings for RAG and semantic search

Dev Tools
Not applicable
App Infra
Optional
Hybrid
Optional

Other tools in this slot:

Stack Genome Detection

AIchitect's Genome scanner detects Redis Vector in your project via these signals:

npm packages
redis
pip packages
redisredisvl
env vars
REDIS_URLREDIS_PASSWORD

Alternatives to consider (2)

Pricing

✦ Free tier available
OSSFree
Redis CloudFrom $7/mo

Badge

Add to your GitHub README

Redis Vector on AIchitect[![Redis Vector](https://aichitect.dev/badge/tool/redis-vector)](https://aichitect.dev/tool/redis-vector)

Explore the full AI landscape

See how Redis Vector fits into the bigger picture — browse all 207 tools and their relationships.

Explore graph →