Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Your search index is already an agent memory system: Persistent agent memory for Claude Code with Elasticsearch
Give your AI agent persistent cross-session memory using Elasticsearch: Hybrid recall, a knowledge graph, and cross-device handoffs. Three commands to install.
How DocValuesSkippers in Lucene 10 make range queries faster without doubling your storage
DocValuesSkippers add block-level skipping to Lucene DocValues fields, speeding up range queries on sorted or insert-ordered indexes with less than 0.1% storage overhead.
Systematic research with LangChain's Deep Agents framework and Elasticsearch
Building a systematic research pipeline using LangChain's Deep Agents framework and Elasticsearch:
How Elasticsearch cut metrics storage by 41% by dropping sequence numbers after replication
Find out how Elasticsearch trims sequence numbers at merge time to cut TSDS storage by 41%, what you give up, and why it's safe for metrics workloads.
Replica management: Inside the system that keeps Elasticsearch Serverless searches fast at scale
A technical walkthrough of how two replica systems (one for failover, one for load balancing) combine every five minutes into a single cache-aware recommendation per index in Elasticsearch Serverless.
Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
Learn how to configure Elasticsearch as an OGX vector store, ingest EU regulation PDFs and build a Python RAG agent that runs hybrid BM25 and vector search with source-level citations.
Best practices for building a modern app with vector search
Exploring six vector search tips for building modern AI search applications entirely on Elasticsearch, with an opinionated rationale at each architectural decision.
Elasticsearch simdvec deep-dive: Walking the memory tightrope to 2x better vector throughput
A deep dive into four optimizations (cascade unrolling, batch prefetching, dim-axis unrolling, a structural refactor) that pushed Elasticsearch simdvec to 2x vector throughput by working with the CPU, not against it.
Your Elastic agent, Google's ADK, and zero custom APIs: building “Lucky Planet” over A2A
Elastic Agent Builder's native A2A endpoint lets Google's ADK orchestrate a remote agent, with no custom REST API. Watch it work in 'Lucky Planet,' a random-exoplanet game built end-to-end.
137,000 people, zero human decisions: agentic disaster response with Elasticsearch
Find out how a Kibana detection rule, a workflow and an AI agent automatically relocated 137,000 military personnel across seven installations when a hurricane hit, no dispatcher required.
6 resources, 1 command: fully automated Elastic anomaly detection with Terraform
Build and manage Elastic anomaly detection jobs entirely in Terraform (job config, datafeed, lifecycle state and environment promotion) with a modular, ready-to-clone example.
