Redis®*: Good to know

This documentation is part of the Search and JSON guide. View the full guide here: Store JSON documents and query them efficiently with the Redis query engine.

👋 Welcome to the Stackhero documentation!

Stackhero offers a ready-to-use Redis cloud solution that provides a host of benefits, including:

  • Redis Commander web UI included.
  • Unlimited message size and transfers.
  • Effortless updates with just a click.
  • Optimal performance and robust security powered by a private, dedicated infrastructure.

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

  • Search indexes only work on database 0. FT.CREATE returns an error on any other database. If your application uses several logical databases, keep indexable data on database 0, or use key prefixes to separate different datasets.
  • Indexes use your plan's memory, just like your data. Large text or vector indexes can be significant, so you can monitor used_memory in your Prometheus metrics after building them.
  • Building an index on existing keys runs in the background. Immediately after FT.CREATE, searches may briefly return incomplete results. You can monitor the indexing progress with FT.INFO productsIndex.
  • All module commands are fully available. Every command of every enabled module is ready to use in your service.

To learn more about vector similarity, semantic search, or retrieval-augmented generation, see the vector search guide.

Continue reading this guide

  1. Read the full guide: Search and JSON
    Store JSON documents and query them efficiently with the Redis query engine
  2. Enabling the modules
  3. Storing JSON documents
  4. Indexing and searching those documents
  5. Example: Using Node.js
  6. Example: Using Python

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. Vector search and RAG
    Semantic search, recommendations, and retrieval-augmented generation with Redis
  6. Automate with the CLI
    Start Redis, retrieve its credentials, and change its configuration programmatically with the Stackhero CLI
  7. GitHub Actions & GitLab CI
    Spin up a real Redis service from your GitHub Actions or GitLab CI pipeline, run your tests against it, and tear it down automatically
  8. Rank users in real time
    Learn how to rank 2 million users per score in real time using Redis