#vector search
1890 related articles
Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
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Tutorials·1 min
Tutorial: Free Claude 4.7 Model Access in Cursor via MCP & Security Risk Analysis
Technical breakdown of the community method for free Claude 4.7 and GPT-5.5 access in Cursor via MCP, including JS injection workflow, principles, and security risk analysis.
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Tutorials·2 min
Practical Guide to Prompt Engineering: Core Optimization Techniques and Pitfalls to Avoid in 2026
A 2026 practical guide to prompt engineering: format selection, system message priority, role setting, few-shot learning, structured output, and how to avoid common pitfalls.
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Tech Frontiers·2 min
OpenAI Merges with Jony Ive's io Company: Redefining the Future of AI Hardware
OpenAI merges with Jony Ive's hardware company io to create a new AI device beyond the iPhone. Altman calls it "the coolest tech product ever made," marking AI's leap from software to new hardware.
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Tutorials·2 min
Spring AI 2.0 in Practice: Build a RAG Knowledge Base Q&A System in One Hour
Build a RAG enterprise knowledge base Q&A system from scratch using Spring AI 2.0 and Cursor AI. Covers Ollama local LLM deployment, Redis vector database, document parsing, vectorization, and intelligent retrieval.
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Tutorials·2 min
AI Reverse Engineering in Practice: Cracking Modified SHA-1 and 20,000+ Lines of Obfuscated Code in One Shot
Learn how to use AI tools to crack modified SHA-1 algorithms and 20,000+ lines of obfuscated JS code, reducing hours of traditional reverse engineering to just 20 minutes.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide from Prompts to Mastering Engineering
Deep dive into Harness Engineering methodology covering the three-stage evolution from prompt engineering to context engineering to AI Agent mastery, with enterprise e-commerce project examples.
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Tutorials·2 min
Python Machine Learning in Practice: A Complete Guide from Algorithm Derivation to Code Implementation
A systematic Python ML course using a 3-stage framework: algorithm derivation, code implementation, and experimental analysis. Covers logistic regression, decision trees, and ensemble learning.
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Deep Dives·2 min
The Three-Stage Evolution of AI Coding Tools: From Copilot to Cursor to Claude Code
Deep analysis of AI coding tools' three-stage evolution: GitHub Copilot as a supercharged input method, Cursor as a pair programming partner, and Claude Code as a system-level agent.
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Product Reviews·2 min
CodeGraph: Give AI a Code Map to End Blind Searching in Large Repositories
CodeGraph is a local code semantic indexing tool that provides AI coding agents with code relationship maps via MCP, reducing costs by 35% and tool calls by 70% in large repositories.
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Tutorials·2 min
Claude Code Enterprise Deployment Guide: Ecosystem Framework and Hands-On Configuration
Deep dive into Claude Code's enterprise deployment architecture for large codebases, covering CLAUDE.md, Hooks, Skills, MCP servers, and organizational governance strategies.
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Tutorials·1 min
HuggingFace Transformers Beginner's Guide: Model Download, Pipeline Inference, Training & Saving
Learn HuggingFace Transformers core usage: pretrained model download, Pipeline API for sentiment analysis, Tokenizer principles, model inference with Softmax, and saving workflows with Python examples.
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Tutorials·2 min
Claude Code + Agent SDK for a Personal AI Assistant: A More Elegant Solution Than OpenClaw
Deep dive into using Anthropic Agent SDK to bridge Claude Code via Telegram for a personal AI assistant. Compared to OpenClaw, featuring a three-layer memory system and Mega Prompt guided setup.
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Tutorials·1 min
LLM-Wiki Setup Tutorial: Karpathy's Self-Evolving Personal Knowledge Base Approach
A detailed guide to Andrej Karpathy's LLM-Wiki personal knowledge base approach, transforming LLMs from interpreters to compilers with a three-layer architecture for self-evolving knowledge.
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Product Reviews·1 min
Open-Source AI Desktop Pet Cat: Qwen 3.5 Omni + ESP32 Create a Full-Modal Intelligent Companion
Open-source AI desktop cat project built with Qwen 3.5 Omni and ESP32-S3, featuring emotional voice interaction, visual perception, gesture control, and daily life logging with intelligent review.
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Product Reviews·1 min
Qwen3.6 27B: Real-World Testing of Three Unconventional Quantized Models — Code Performance +15.8PP, 40B Distillation, 16GB Adaptation
Real-world comparison of three community-built Qwen3.6 27B variants: OmniMerge V4 with +15.8pp code gains, 40B OPUS distilled for roleplay, and a 16GB-optimized version for limited VRAM.
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Tech Frontiers·1 min
GitHub Universe 2024: Full Breakdown of Copilot Multi-Model Support, Multi-File Editing & Spark
Deep dive into GitHub Universe 2024: Copilot adds Claude 3.5 Sonnet, Gemini multi-model support, VS Code multi-file editing rivaling Cursor, and the new AI micro-app tool Spark launches.
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Product Reviews·2 min
ContextWeaver: Building Local Code Intelligence Retrieval for LLMs with MCP + Tree-sitter
ContextWeaver is an open-source AI coding tool using MCP protocol, Tree-sitter parsing, and vector search to provide LLMs with precise local codebase context retrieval for intelligent development.
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Industry Insights·2 min
AI Practical Guide for SMBs: 5 Types of Technical Applications Small Businesses Are Building
In-depth analysis of SMB AI adoption: automated workflows, vertical AI apps, internal tools, with practical tips and open-source recommendations for low-cost digital transformation.
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Product Reviews·2 min
LightningRAG: A Full-Stack RAG Framework in Go, Built with Vue + Gin for High-Performance Retrieval-Augmented Generation
LightningRAG is an open-source full-stack RAG framework built with Vue and Gin, supporting knowledge base management, vector search, and multi-model integration. A deep dive into its architecture and comparison with LangChain and Dify.
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