March 9, 2026
Building effective database retrieval tools for context engineering
Best practices for writing database retrieval tools for context engineering. Learn how to design and evaluate agent tools for interacting with Elasticsearch data.


March 6, 2026
Build task-aware agents with an expanded model catalog on Elastic Inference Service (EIS)
Elastic Inference Service (EIS) expands its managed model catalog, enabling teams to build production-ready agents with flexible model choice across retrieval, generation, and reasoning, without managing GPUs or infrastructure.

March 5, 2026
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.

March 2, 2026
Adaptive early termination for HNSW in Elasticsearch
Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.

February 4, 2026
Speed up vector ingestion using Base64-encoded strings
Introducing Base64-encoded strings to speed up vector ingestion in Elasticsearch.

February 3, 2026
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.

February 3, 2026
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.

January 23, 2026
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.

December 22, 2025
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.