Valkey: Good to know

This documentation is part of the Search and JSON guide. You can view the complete guide here: Store and query JSON documents with the Valkey search module.

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• Valkey Admin web UI included.
• Unlimited message size and transfers.
• One-click updates for easy maintenance.
• Optimal performance and enhanced security thanks to a private, dedicated infrastructure.

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• The search module provides a focused set of commands: FT.CREATE, FT.SEARCH, FT.AGGREGATE, FT.INFO, FT.DROPINDEX, and FT._LIST. These efficiently cover tag, numeric, text, and vector queries. If your application requires advanced full-text features (such as spell checking, synonyms, or suggestion dictionaries), the Redis query engine offers more advanced capabilities.
• Indexes are per-database and work within each database. For example, an index created in database 3 is only visible and queryable from database 3. This is an area where Valkey goes beyond Redis database selection, which only supports indexing on database 0.
• Indexes use your plan's memory, just like your data. You can monitor used_memory in your Prometheus metrics after building an index.
• Indexing existing keys runs in the background. Immediately after running FT.CREATE, search results may be incomplete for a few seconds while the index is being built.
• All module commands are enabled. Every command from every module is available on your service, with no restrictions.

If you want to explore vector similarity, semantic search, or retrieval-augmented generation, check out the vector search guide.