January 20, 2026
Context engineering vs. prompt engineering
Learn how context engineering and prompt engineering differ and why mastering both is essential for building production AI agents and RAG systems.
January 19, 2026
Faster ES|QL stats with Swiss-style hash tables
How Swiss-inspired hashing and SIMD-friendly design deliver consistent, measurable speedups in Elasticsearch Query Language (ES|QL).
January 16, 2026
Managing agentic memory with Elasticsearch
Creating more context-aware and efficient agents by managing memories using Elasticsearch.
January 14, 2026
Higher throughput and lower latency: Elastic Cloud Serverless on AWS gets a significant performance boost
We've upgraded the AWS infrastructure for Elasticsearch Serverless to newer, faster hardware. Learn how this massive performance boost delivers faster queries, better scaling, and lower costs.
January 12, 2026
jina-embeddings-v3 is now available on Elastic Inference Service
Introducing jina-embeddings-v3 on Elastic Inference Service (EIS) and explaining how to get started.
January 8, 2026
Hybrid search and multistage retrieval in ES|QL
Explore the multistage retrieval capabilities of ES|QL, using FORK and FUSE commands to integrate hybrid search with semantic reranking and native LLM completions.
January 7, 2026
Implementing an agentic reference architecture with Elastic Agent Builder and MCP
Explore an agentic reference architecture with Elastic Agent Builder, MCP, and semantic search to build a security agent for automated threat analysis.
January 2, 2026
Automating log parsing in Streams with ML
Learn how a hybrid ML approach achieved 94% log parsing and 91% log partitioning accuracy through automation experiments with log format fingerprinting in Streams.
January 1, 2026
An introduction to Jina models, their functionality, and uses in Elasticsearch
Explore Jina multimodal embeddings, Reranker v3, and semantic embedding models, and how to use them natively in Elasticsearch.