Learn about Aerospike Vector Search (AVS)
The pages in this section provide information about AVS architecture and other high-level concepts that describe how AVS handles data and how it works with the Aerospike database. Before installing or developing with AVS, review the basic architecture and system components to familiarize yourself with how AVS works.
Try AVS quickly by using our Quick Start. The Quick Start is intended for Aerospike administrators to learn about the operational details of the product.
Concepts
- Architecture: Provides details about the AVS system and its individual components to help administrators understand AVS before moving on to installation.
Vector data in Aerospike: Describes how AVS data is laid out in the Aerospike Database so operators can optimize for their use case SLAs.
Ingestion and indexing: Describes the asynchronous process that AVS uses to ingest and index data.
AVS search caching: Describes the high-performance search capabilities and optimized caching of indexes.
AVS Terminology: Provides an overview of vector and Aerospike terminology that is important to understanding AVS concepts.