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Elasticsearch:AI Engine Edition

Last Updated:Aug 20, 2026

Alibaba Cloud Elasticsearch AI Engine Edition is a cloud-native search engine for retrieval-augmented generation (RAG), code search, agent memory, and multi-tenant search.

AI Engine Edition is built on the Elasticsearch 9 series. It decouples persistent storage from indexing and query workloads: index data and persistent state reside in object storage, index nodes handle writes and index building, and search nodes handle queries. Applications connect through a Collection as a unified access point and organize knowledge bases, code repositories, agents, or tenants as Slices, without creating a separate index for each one.

Topics

The following table describes the topics in this section.

TopicDescription
What is AI Engine EditionProduct positioning, core advantages and applicable scenarios, Collection and Slice concepts, read-write and query architecture, DiskBBQ disk-native vector index, performance reference, and version and compatibility.
AI Engine Edition usage guideInstance creation and connection, Collection mode selection, and quick-start paths for namespace mode and vector cluster recall mode; Collection configuration, Slice management, data write, read, and query operations, Slice cache warmup, DiskBBQ configuration, Collection Alias, and Copy Slice; Collection observability, permissions, feature boundaries, and API reference.

Next steps

If you are new to AI Engine Edition, complete the following steps:

  1. Read What is AI Engine Edition to confirm the product capabilities and applicable scenarios.

  2. Follow AI Engine Edition usage guide to create an instance, ingest data, and verify queries.