Category: Inside Elastic
Articles tagged Inside Elastic
Does MCP make search obsolete? Not even close
Explore why search engines and indexed search remain the foundation for scalable, accurate, enterprise-grade AI, even in the age of MCP, federated search, and large context windows.
Adaptive early termination for HNSW in Elasticsearch
Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.
Speed up vector ingestion using Base64-encoded strings
Introducing Base64-encoded strings to speed up vector ingestion in Elasticsearch.
Building automation with Elastic Workflows
A practical introduction to workflow automation in Elastic. Learn what workflows look like, how they work, and how to build one.
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.
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.
