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Mingyi World Elasticsearch
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Mingyi World Elasticsearch

The leading WeChat public account for Elasticsearch fundamentals, advanced topics, and hands‑on practice. Join us to dive deep into the ELK Stack (Elasticsearch, Logstash, Kibana, Beats).

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Recent Articles

Latest from Mingyi World Elasticsearch

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Mingyi World Elasticsearch
Mingyi World Elasticsearch
May 12, 2026 · Backend Development

From Zero to One: Building a Personalized E‑commerce Search with Easysearch

The article walks through constructing a fully personalized e‑commerce search system using Easysearch and Python Flask, detailing product modeling, behavior collection, profile building with time decay and LLM augmentation, and how to inject these signals into Elasticsearch DSL for real‑time, user‑specific ranking and recommendation.

EasysearchElasticsearchLLM
0 likes · 18 min read
From Zero to One: Building a Personalized E‑commerce Search with Easysearch
Mingyi World Elasticsearch
Mingyi World Elasticsearch
May 11, 2026 · Databases

When Search Meets Rust: A Deep Dive into INFINI Pizza, the Next‑Gen Real‑Time Search Engine

This article analytically examines INFINI Pizza, a Rust‑implemented distributed search database, detailing its design philosophy, hierarchical data model, rolling‑partition‑shard architecture, share‑nothing + io_uring I/O stack, true real‑time indexing, in‑place partial updates, AI‑native hybrid search capabilities, ecosystem components, and a point‑by‑point comparison with Elasticsearch.

AI-nativeDistributedParquet
0 likes · 20 min read
When Search Meets Rust: A Deep Dive into INFINI Pizza, the Next‑Gen Real‑Time Search Engine
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Apr 19, 2026 · Industry Insights

ElasticStack 2026: Beyond New Versions, It’s Becoming an Agent Platform

In early 2026 ElasticStack transformed from a traditional search‑log‑visualization stack into an Agent platform, accelerating releases across three lines, elevating Elasticsearch to a context‑engineered infrastructure, unifying ES|QL as a platform‑wide interaction layer, and integrating Workflows, MCP, and vector enhancements to drive autonomous observability and security operations.

Agent PlatformElasticStackElasticsearch
0 likes · 20 min read
ElasticStack 2026: Beyond New Versions, It’s Becoming an Agent Platform
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Apr 18, 2026 · Artificial Intelligence

How an Easysearch AI Assistant Beats RAG Without Using Retrieval‑Augmented Generation

The article details a step‑by‑step case study showing that a well‑engineered AI assistant—built with Flask, DeepSeek, structured prompts, strict output rules, and a lightweight SQLite session store—can achieve high answer quality, traceability and user experience comparable to RAG systems without the overhead of vector retrieval.

AI AssistantEasysearchFlask
0 likes · 11 min read
How an Easysearch AI Assistant Beats RAG Without Using Retrieval‑Augmented Generation
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Apr 7, 2026 · Backend Development

Connect Easysearch to Kibana in Two Simple Steps

This guide shows how to make Kibana OSS recognize INFINI Easysearch by enabling Elasticsearch API compatibility mode, masquerading the version as 7.10.2, configuring Kibana to point to Easysearch, handling SSL verification and special characters in passwords, and verifying the connection through Kibana Dev Tools.

ConfigurationEasysearchElasticsearch compatibility
0 likes · 7 min read
Connect Easysearch to Kibana in Two Simple Steps
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Mar 27, 2026 · Fundamentals

EasySearch Rules Syntax: Quick Reference Guide

This guide details the EasySearch rule syntax, covering rule structure, logical operators, field constraints, regular expressions, distance matching, numeric range matching, three practical tagging scenarios, common errors, special‑character escaping, and concise best‑practice recommendations.

EasysearchSearchfield constraints
0 likes · 8 min read
EasySearch Rules Syntax: Quick Reference Guide
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Mar 27, 2026 · Backend Development

How EasySearch Rules Engine Tags Data at Ingest Time

The article walks through EasySearch's Rules plugin, showing how its high‑performance C++ rule engine can automatically match and tag documents during the ingest pipeline, enabling zero‑latency content classification for scenarios like regional, sentiment, and entity tagging.

CElasticsearchIngest Pipeline
0 likes · 9 min read
How EasySearch Rules Engine Tags Data at Ingest Time