We're discontinuing App Search in version 9.0, but Elasticsearch offers everything you need to build AI-powered search experiences. With integrated ML tools, semantic search, and reranking Elasticsearch simplifies search development and migration.

Elastic Search 8.15 introduces the semantic_text field and semantic reranking. The Elastic open inference API enables more third-party model providers. Learning to rank and query rules are now GA.

Elastic Search 8.9 brings improvements to vector search and ingestion and presents hybrid search with RRF to combine vector, keyword, and semantic techniques. Public-facing search endpoints for indices are now available with search applications beta.

Elastic Enterprise Search 8.4 delivers enhanced vector-based querying for searching and analyzing datasets large and small, with little to no implementation overhead.

Developers can now easily build amazing search experiences straight into their applications with the Elastic App Search extension for Google Cloud Firestore.

See how to secure your Elastic Enterprise Search deployment by using a SAML identity provider (IdP) — in this case, we’ll be using Okta — for cross-domain, single sign-on (SSO) authentication.

Use the Elastic App Search APIs to build a search history-based feature for your users, such as a "These documents might also interest you" functionality.

Learn about all the advantages of migrating from Swiftype App Search to App Search on Elastic Cloud, such as reduced latency and increased scalability and flexibility.

Elastic Enterprise Search now includes App Search on Elastic Cloud, scalability with meta engines, and SAML/SSO support for Workplace Search.