#Rerank

171 related articles

Jul 11, 2026·3 min

How to Choose a Practical LLM/RAG/AI Agent Course: Four Key Criteria

Learn how to pick the best LLM, RAG, and AI Agent courses. Discover 4 key criteria for hands-on AI learning and top resources for developers.

Jul 11, 2026·6 min

Cursor Meets Grok 4.5: A Hands-On Test of an AI Coding Assistant That's 5x Faster with Cleaner Output

A developer deeply tests Grok 4.5 High Fast in Cursor, finding it rivals Claude Opus in quality but runs 5x faster with cleaner, filler-free output. Full hands-on review and analysis.

Jul 10, 2026·7 min

Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop

A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.

Jul 10, 2026·5 min

Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Jul 10, 2026·5 min

28 Enterprise-Grade AI Agent Projects: A Complete Guide That Even Beginners Can Deploy

A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.

Jul 10, 2026·4 min

AI Agent Learning Roadmap: From Zero to Real-World Projects

A complete AI Agent learning roadmap covering agent principles, prompt engineering, RAG, multi-agent systems, and hands-on projects — from zero to real-world deployment.

Jul 10, 2026·4 min

AI Agent Development Deep Dive: Opportunities, Real Entry Barriers, and Learning Paths

A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.

Jul 10, 2026·4 min

Switching Careers to LLM Development: The Four Core Competency Layers Companies Actually Need

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

Jul 10, 2026·3 min

AI Application Development Learning Roadmap: From Agents and RAG to Real-World Career Success

Want to break into AI application development? This guide covers the full learning path — from Agents and RAG to Prompt Engineering — helping you master LLM engineering skills and land the job.

Jul 10, 2026·4 min

8-Step AI Agent Development Guide: From Zero to Production

Demo works but production fails? This guide covers the full AI Agent development path: when to use Agents, hand-writing ReAct loops, tool schemas, RAG, eval sets, and production fallback strategies.

Jul 10, 2026·2 min

GBrain Local Deployment Guide: An AI Knowledge Engine That Outperforms Traditional RAG by 31%

GBrain is an open-source AI knowledge base supporting full local offline deployment. Its 12-step retrieval pipeline and knowledge graph boost accuracy 31% over traditional RAG.

Jul 10, 2026·4 min

Complete Guide to Dify Local Deployment: Build a Private AI Workflow Platform from Scratch

Step-by-step guide to deploying Dify locally: Docker setup, Docker Compose installation, source code configuration, .env file setup, and container startup for Windows, macOS, and Linux.

Jul 10, 2026·7 min

Getting Started with LangChain 1.3: Core Concepts of LLMs and Agents

An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.

Jul 9, 2026·7 min

Previewing the AI Engineer Summit: Industry Signals of AI Engineering Reaching Maturity

An exclusive look at the AI Engineer Summit dress rehearsals, decoding the paradigm shift from research to production. A deep dive into AI Engineer challenges, RAG, agent systems, and AI engineering as a distinct discipline.

Jul 9, 2026·7 min

The Agent Engineer Transition Roadmap: A Deep Dive into Three Core Skill Systems

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

Jul 9, 2026·7 min

Dify 1.8.0 in Practice: A Complete Guide to Building Enterprise-Grade AI Workflows with Zero Code

An in-depth walkthrough of deploying Dify 1.8.0 and building applications: three-step Docker deployment, five app types compared, and Workflow vs Chatflow use cases—build enterprise AI apps with zero code.

Jul 9, 2026·6 min

Complete Guide to Deploying Dify Locally: Docker + Ollama + RAG Setup Tutorial

A detailed guide to deploying the Dify agent platform locally: from Docker setup and integrating Ollama + DeepSeek local LLMs to workflow orchestration and RAG knowledge base construction.

Jul 9, 2026·6 min

Getting Started with Dify: A Complete Guide to Deployment, Configuration, and Workflow Practice

A systematic guide to Dify's three deployment methods (Docker/source/online), five application types, and hands-on workflow nodes—covering LLM integration, MySQL config, and app publishing.

Jul 9, 2026·6 min

From Video to Notes to Knowledge Base: A Practical Guide to AI-Assisted Learning Workflows

A complete AI learning workflow: batch download videos, auto-transcribe, generate structured notes with AI, then build intelligent search and Q&A via Dify. Turn scattered videos into a reusable personal knowledge base.

Jul 9, 2026·7 min

Getting Started with LangChain: The Core Framework Connecting LLMs and AI Applications

A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.