Category: Inside Elastic
Articles tagged Inside Elastic
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
