Redis®*: Good to know

This documentation is part of the Vector search and RAG guide. You can view the complete guide here: Semantic search, recommendations, and retrieval-augmented generation with Redis.

👋 Welcome to the Stackhero documentation!

Stackhero provides a ready-to-use Redis cloud solution offering numerous advantages, including:

  • Redis Commander web interface included.
  • Unlimited message size and transfers.
  • Updates made easy with just one click.
  • Optimal performance and enhanced security thanks to a private, dedicated infrastructure.

Save time and make your life easier: it only takes 5 minutes to try Stackhero's Redis cloud hosting solution!

  • Vector indexes only work on database 0, as with all search indexes in Redis.
  • Vector sets offer a simpler alternative with no setup required. The VADD and VSIM commands are built into Redis, allowing you to use similarity search immediately, without enabling any modules. This is convenient for simple recommendation scenarios on a single set. The query engine remains preferable if you need filters, pagination, or multiple fields.
  • Building an index over existing keys runs in the background. You can monitor progress with FT.INFO. Searches return partial results until indexing is complete.

To learn more about vector search in Redis, see the official Redis vector search documentation.

Continue reading this guide

  1. Read the full guide: Vector search and RAG
    Semantic search, recommendations, and retrieval-augmented generation with Redis
  2. Before you start
  3. Creating a vector index
  4. Querying
  5. A RAG pipeline in Node.js
  6. The same in Python
  7. Sizing your service

Other articles for Redis®*

  1. Getting started
    Quick guide to getting started with Redis
  2. Prometheus
    Prometheus metrics
  3. Using with Python
    How to connect Redis with Python
  4. Using with Ruby
    How to connect Redis with Ruby
  5. Search and JSON
    Store JSON documents and query them efficiently with the Redis query engine
  6. Automate with the CLI
    Start Redis, retrieve its credentials, and modify its configuration programmatically using the Stackhero CLI
  7. GitHub Actions & GitLab CI
    Launch a real Redis service from your GitHub Actions or GitLab CI pipeline, run your tests against it, and automatically tear it down
  8. Rank users in real time
    Learn how to rank 2 million users by score in real time using Redis