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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
Feb 26, 2026 · Artificial Intelligence

How RAG Gives Large Language Models Their Own Knowledge Base – Illustrated with Easysearch

The article explains why Retrieval‑Augmented Generation (RAG) is needed to overcome large language models' knowledge cut‑off and hallucination issues, details the offline indexing and online retrieval‑generation workflow, compares RAG with fine‑tuning, and shows how Easysearch’s hybrid search makes an effective RAG backbone.

EasysearchHybrid SearchKnowledge Base
0 likes · 10 min read
How RAG Gives Large Language Models Their Own Knowledge Base – Illustrated with Easysearch
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jan 31, 2026 · Backend Development

How to Make a Python Project Support Both Elasticsearch and Easysearch – A Practical Walkthrough

This article explains how to configure a Python codebase to connect simultaneously to Elasticsearch (8.x/9.x) and Easysearch by selecting the elasticsearch‑7.13.1 client, handling product‑validation differences, applying NumPy 2.0 compatibility patches, and configuring HTTPS self‑signed certificates, while comparing three implementation options and recommending the most maintainable solution.

EasysearchElasticsearchHTTPS
0 likes · 8 min read
How to Make a Python Project Support Both Elasticsearch and Easysearch – A Practical Walkthrough
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jan 30, 2026 · Backend Development

Text2DSL: Convert Natural Language to Precise Elasticsearch/Easysearch DSL

Text2DSL lets users describe search requirements in plain language, uses DeepSeek to generate Elasticsearch DSL, validates the DSL locally with Elasticsearch/Easysearch, iteratively refines it up to five times, and achieves over 95% first‑try accuracy while cutting query‑building time by at least threefold.

DSL generationDeepSeekEasysearch
0 likes · 12 min read
Text2DSL: Convert Natural Language to Precise Elasticsearch/Easysearch DSL
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jan 3, 2026 · Artificial Intelligence

Build Your Own AI Coding Assistant in 5 Minutes: A Hands‑On Guide

The article analyzes common pain points of traditional AI coding chats—repetitive context input, lengthy prompts, and generic answers—and demonstrates how to create a persistent, expert‑level AI coding assistant using Coco AI, with step‑by‑step configuration, example prompts, and future RAG enhancements.

AI AgentCoco AIDeepSeek
0 likes · 9 min read
Build Your Own AI Coding Assistant in 5 Minutes: A Hands‑On Guide
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Dec 28, 2025 · Artificial Intelligence

Building an Elasticsearch‑Powered RAG Q&A System: Theory and Full Code Walkthrough

This article walks through the principles of Retrieval‑Augmented Generation (RAG) and provides a complete Python implementation using Elasticsearch, covering document chunking, semantic embedding, bulk indexing, hybrid BM25‑vector search, RRF result fusion, prompt design, LLM invocation, and a practical demo.

ElasticsearchHybrid SearchPrompt Engineering
0 likes · 9 min read
Building an Elasticsearch‑Powered RAG Q&A System: Theory and Full Code Walkthrough
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Dec 28, 2025 · Big Data

Easysearch UI vs Kibana: Choosing the Right Visualization Tool

This guide compares Easysearch UI and Kibana across positioning, feature set, performance, resource usage, learning curve, and typical use cases, then provides concrete scenario‑based recommendations and a decision‑tree to help teams select the most suitable visualization solution for their Elasticsearch deployments.

Easysearch UIElasticsearchKibana
0 likes · 8 min read
Easysearch UI vs Kibana: Choosing the Right Visualization Tool
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Dec 26, 2025 · Databases

How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer

This article analyzes the shortcomings of standard Elasticsearch analyzers for code search, presents a custom NGram analyzer combined with match_phrase queries, shows configuration and query examples, compares performance of different query types, and offers best‑practice guidelines and pitfalls to avoid when building a reliable code‑search system.

Code searchElasticsearchNGram
0 likes · 13 min read
How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer