Category: Inside Elastic

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Skip MLOps: Managed cloud inference for self-managed Elasticsearch with EIS via Cloud Connect
Elasticsearch Labs

Skip MLOps: Managed cloud inference for self-managed Elasticsearch with EIS via Cloud Connect

Introducing Elastic Inference Service (EIS) via Cloud Connect, which provides a hybrid architecture for self-managed Elasticsearch users and removes MLOps and CPU hardware barriers for semantic search and RAG.

Jordi Mon Companys
Improve search performance with `best_compression`
Elasticsearch Labs

Improve search performance with `best_compression`

While `best_compression` is typically seen as a storage-saving feature for Elastic Observability and Elastic Security use cases, this blog demonstrates its effectiveness as a performance-tuning lever for search.

Sherry Ger
Influencing BM25 ranking with multiplicative boosting in Elasticsearch
Elasticsearch Labs

Influencing BM25 ranking with multiplicative boosting in Elasticsearch

Learn why additive boosting methods can destabilize BM25 rankings and how multiplicative scoring provides controlled, scalable ranking influence in Elasticsearch.

Alexander Marquardt
Elasticsearch Serverless pricing demystified: VCUs and ECUs explained
Elasticsearch Labs

Elasticsearch Serverless pricing demystified: VCUs and ECUs explained

Learn how Elasticsearch Serverless pricing works for Elastic’s fully-managed deployment offering. We explain VCUs (Search, Ingest, ML) and ECUs, detailing how consumption is based on actual allocated resources, workload complexity, and Search Power.

Sander Philipse
Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch
Elasticsearch Labs

Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch

Discover how to optimize e-commerce search by blending BM25 relevance with profit margin and popularity signals in Elasticsearch using the function_score query.

Alexander Marquardt
Reducing Elasticsearch frozen tier costs with Deepfreeze S3 Glacier archival
Elasticsearch Labs

Reducing Elasticsearch frozen tier costs with Deepfreeze S3 Glacier archival

Learn how to leverage Deepfreeze in Elasticsearch to automate searchable snapshot repository rotation, retaining historical data and aging it into lower cost S3 Glacier tiers after index deletion.

Bret Wortman
Evaluating search query relevance with judgment lists
Elasticsearch Labs

Evaluating search query relevance with judgment lists

Explore how to build judgment lists to objectively evaluate search query relevance and improve performance metrics such as recall, for scalable search testing in Elasticsearch.

Jhon Guzmán
How excessive replica counts can degrade performance, and what to do about it
Elasticsearch Labs

How excessive replica counts can degrade performance, and what to do about it

Learn about the impact of high replica counts in Elasticsearch, and how to ensure cluster stability by right-sizing your replicas.

Alexander Marquardt
Configuring recursive chunking for structured documents in Elasticsearch
Elasticsearch Labs

Configuring recursive chunking for structured documents in Elasticsearch

Learn how to configure recursive chunking in Elasticsearch with chunk size, separator groups, and custom separator lists for optimal structured document indexing.

Daniel Rubinstein
Context engineering using Mistral Chat completions in Elasticsearch
Elasticsearch Labs

Context engineering using Mistral Chat completions in Elasticsearch

Learn how to utilize context engineering with Mistral Chat completions in Elasticsearch to ground LLM responses in domain-specific knowledge for accurate outputs.

Ugo Sangiorgi
A new era for Elastic Discover: ES|QL, context & multi-tabs
Elasticsearch Labs

A new era for Elastic Discover: ES|QL, context & multi-tabs

Learn about the evolution of Elastic's Discover, covering ES|QL integration, context-aware querying, multi-exploration tabs, and the new CRUD experience in 9.2.

Ninoslav Miskovic
Low-memory benchmarking in DiskBBQ and HNSW BBQ
Elasticsearch Labs

Low-memory benchmarking in DiskBBQ and HNSW BBQ

Benchmarking Elasticsearch latency, indexing speed, and memory usage for DiskBBQ and HNSW BBQ in low-memory environments.

John Wagster

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as you are. Let’s connect and work together to build the magical search experience that will get you the results you want.