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Articles by Gilad Gal

Principal Product Manager I, Elastic

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Elastic Stack 8.12: Enhanced vector search with improvements to ES|QL and more

The 8.12 release includes improved vector data handling with efficient search, query parallelization, enhanced pipeline features, remote search status, new maintenance windows, and ES|QL query editing in Dashboard.

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Elastic Stack 8.11: Introducing a new powerful query language, ES|QL

Elastic Stack 8.11 introduces an advanced query language known as ES|QL in the Discover application, making data exploration more straightforward and user friendly. The Elastic Learned Sparse EncodeR (ELSER) is now generally available.

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Elastic Stack 8.10: Simpler cross-cluster search and authentication, and more

Simplify configuring cross-cluster search, execute vector search faster, detect data drifts and log rate dips, stream Elastic Agent to Kafka, and authenticate Webhook connector using third-party security certificates with Elastic Stack 8.10.

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Elastic Search 8.9: Hybrid search with RRF, faster vector search, and public-facing search endpoints

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.

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Elastic Stack 8.9: Faster cross-cluster searches and aggregations on metrics

Elastic Stack 8.9 delivers significant speed-up of aggregations for metrics, faster and more reliable cross-cluster searches, and management of alert rules using Terraform.

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Elastic Learned Sparse Encoder is an AI model for high relevance semantic search across domains. As a sparse vector model, it expands the query with terms that don't exist in the query itself, delivering superior relevance without domain adaptation.

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Runtime fields: Schema on read for Elastic

In 7.11, we’re excited to announce schema on read in the Elastic Stack. We now offer the best of both worlds on a single platform. Schema on read for flexibility and schema on write for performance. We call our implementation runtime fields.

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Getting started with runtime fields, Elastic’s implementation of schema on read

Introducing runtime fields, Elastic's implementation of schema on read. Now you can use either schema on write for performance or schema on read for flexibility. In this blog, we discuss how to get started with runtime fields.

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Elasticsearch 7.2.0 released

Elasticsearch 7.2.0 is here! Learn about our new proximity ranking (geo and time), enhancements to SQL, and support for OpenID Connect.