1.0.0-rc1

Valkey Search 1.0.0 RC1 - Released Fri 28 Mar 2025

This is the first release candidate of valkey-search 1.0 that is a high-performance Vector Similarity Search engine optimized for AI-driven workloads. It delivers single-digit millisecond latency and high QPS, capable of handling billions of vectors with over 99% recall.

Valkey-Search allows users to create indexes and perform similarity searches, incorporating complex filters. It supports Approximate Nearest Neighbor (ANN) search with HNSW and exact matching using K-Nearest Neighbors (KNN). Users can index data using either Valkey Hash or Valkey-JSON data types.

Major API and Functionality

• Add the search module data type which can handle RDB load, RDB save, free, and memory usage
• Add the following search module commands:
  ** FT.CREATE
  ** FT.DROPINDEX
  ** FT.INFO
  ** FT._LIST
  ** FT.SEARCH
• Supported indexes
  ** Vector: HNSW and Flat
  ** Non-vector: Numeric and Tag
• Index data types include Valkey Hash and Valkey JSON.
• Cluster support
• Linear scaling of keyspace and compute
• ACL support
• RDB serialization of metadata including the search index
• Hybrid queries combining vector and non vector indexes
• Handle key space events for data mutation
• Expose statistics and reporting memory usage to the core valkey engine

New configurations

• Add support for the following configurations: reader-threads, writer-threads, use-coordinator, log-level