June 19, 2026
Why your Elasticsearch cluster is hitting disk watermarks: 14 real-world causes explained
Learn how Elasticsearch disk watermarks work, why they trigger, and how to diagnose 14 of the most common scenarios Support encounters, from index bloat to ILM stalls.
June 18, 2026
Jingra: A Reproducible Framework for Vector Search Benchmarking
Jingra is an open source benchmarking framework that runs the same vector search workload across Elasticsearch, OpenSearch and Qdrant so you can compare engines under identical, reproducible conditions.
June 17, 2026
Extract chart data standard OCR misses: Elastic Agent Builder and LlamaParse in one pipeline
Build an end-to-end pipeline that extracts structured data (including values from charts) out of complex PDFs and into Elasticsearch, ready for agent queries with ES|QL.
June 16, 2026
How we built a persistent agent memory layer on Elasticsearch with 0.89 recall and zero tenant leaks
Discover the architecture behind a persistent, multi-tenant agent memory layer on Elasticsearch: three indices, hybrid retrieval with RRF and a reranker, supersession, decay, and per-user DLS isolation. R@10 0.89 across 168 questions. Full open-source implementation included.
June 15, 2026
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.
June 15, 2026
Your FAQ bot doesn't need a PhD: LLM query routing with Elastic Workflows
Route LLM queries by complexity using Elasticsearch search metadata: Mistral Small for FAQ questions, Claude Sonnet for multi-source synthesis.
June 12, 2026
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.
June 12, 2026
Systematic research with LangChain's Deep Agents framework and Elasticsearch
Building a systematic research pipeline using LangChain's Deep Agents framework and Elasticsearch:
June 11, 2026
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.