February 18, 2026
Better text analysis for complex languages with Elasticsearch and neural models
Using neural models and the Elasticsearch inference API to improve search in Hebrew, German, Arabic, and other morphologically complex languages.
February 12, 2026
Entity resolution with Elasticsearch & LLMs, Part 1: Preparing for intelligent entity matching
Learn what entity resolution is and how to prepare both sides of the entity resolution equation: your watch list and the articles you want to search.
All about those chunks, ’bout those chunks, and snippets!
Exploring chunking and snippet extraction for LLMs, highlighting enhancements for identifying the most relevant chunks and snippets to send to models such as rerankers and LLMs.
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 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.
December 31, 2025
How to build an agent knowledge base with LangChain and Elasticsearch
Learn how to build an agent knowledge base and test its ability to query sources of information based on context, use WebSearch for out-of-scope queries, and refine recommendations based on user intention.
December 29, 2025
Creating reliable agents with structured outputs in Elasticsearch
Explore what structured outputs are and how to leverage them in Elasticsearch to ground agents in the most relevant context for data contracts.
December 15, 2025
Getting started with Elastic Agent Builder and Strands Agents SDK
Learn how to create an agent with Elastic Agent Builder and then explore how to use the agent via the A2A protocol orchestrated with the Strands Agents SDK.
December 5, 2025
Build a financial AI search workflow using LangGraph.js and Elasticsearch
Learn how to use LangGraph.js with Elasticsearch to build an AI-powered financial search workflow that turns natural language queries into dynamic, conditional filters for investment and market analysis.