教程中心

Keyword Extraction System Overview Extracting key terms and phrases from documents automatically. This guide provides practical, production-ready implementations. **Category**: nlp **Primary Tool**: openai **Tags**: nlp, keywords, text-process

WebSocket AI Streaming: Complete Integration Guide Overview Real-time AI streaming with WebSocket connections. This comprehensive guide covers everything you need to know for production implementation. Why It Matters WebSocket AI Streaming: Compl

AI for Property Management Overview Automated tenant communication and maintenance prediction. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model

Constrained Generation: Complete Guide What is Constrained Generation? Constrained Generation is a prompting technique that involves controlling output format via prompts. It is particularly effective for structured data. When to Use Constrained G

AI Environment Debugger: Developer Workflow Overview Diagnosing and fixing environment issues with AI. This guide provides complete, production-ready implementation. Key Concepts Understanding ai environment debugger: developer workflow requires:

OpenAI Function/Tool Calling 完全指南（2026）：用 JSON Schema 定义工具→模型返回结构化调用→你执行并回填结果的完整循环，含真实代码、生产模式(校验/tool_choice/并行调用/strict)、与结构化输出的区别，以及它如何支撑 Agent。

OpenAI Batch vs Standard API: Side-by-Side Comparison Overview Cost and throughput tradeoffs in OpenAI API modes — comparing batch processing across openai and python. This comprehensive guide covers everything you need to know for production imple

Vue.js + OpenAI API Integration Guide 2026 Overview This guide shows you exactly how to integrate AI into Vue applications using Vue.js and OpenAI API. We cover setup, core integration, and production-ready patterns. Prerequisites - Vue.js enviro

AI Literature Review AI accelerates literature reviews by processing hundreds of papers rapidly. ```python from openai import OpenAI client = OpenAI() def synthesize_papers(abstracts: list[str], research_question: str) -> str: combined = "\n\n

HuggingFace Inference API: Developer Guide 2026 What is HuggingFace Inference API? **HuggingFace Inference API** enables running thousands of models with one API. This guide covers everything you need to get started quickly. Why Use HuggingFace In

Parent Document Retrieval: Advanced RAG Tutorial Overview Hierarchical chunking with parent-child document strategy. This guide provides complete, production-ready implementation. Key Concepts Understanding parent document retrieval: advanced rag

Milvus Distributed Vectors What is Milvus? Milvus is a framework for scalable distributed vector search. It simplifies building AI applications by providing high-level abstractions over raw LLM APIs. **Best for**: scalability Installation ```bas

AI Campaign Personalization: AI in Marketing Business Problem The marketing sector faces unique challenges that AI can address: - Manual customer engagement is time-consuming and error-prone - Scale requirements exceed human capacity - Real-time de

Linear MCP Server: Complete Guide 2026 What is Linear MCP Server? **Linear MCP Server** is an MCP (Model Context Protocol) server that enables AI assistants to Manage project issues with AI assistance. MCP is an open protocol that standardizes how

Multi-Query Retrieval: Advanced RAG Tutorial Overview Generating multiple queries for comprehensive RAG retrieval. This guide provides complete, production-ready implementation. Key Concepts Understanding multi-query retrieval: advanced rag tutor

How to Add AI to Your Existing Python App 2026 Introduction In this tutorial, you'll learn how to **Add AI to Your Existing Python App**. By the end, you'll have a working **AI-enhanced Python application** that you can deploy and extend. **Prereq

AI Event Planning Tool Overview Automated event logistics and attendee experience management. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model=

Build an AI Translation with DeepL + GPT-4 Project Overview In this tutorial, you'll build a complete **multilingual content system** using DeepL + GPT-4. By the end, you'll have a production-ready application you can deploy and customize. **What

Llama 4 Scout (2026-04): Complete Guide What's New in Llama 4 Scout 2026-04 The latest version of **Llama 4 Scout** brings significant improvements: mixture of experts, 10M token context. This release represents a major step forward in AI capabili

AI Content Recommendation: AI in Media Business Problem The media sector faces unique challenges that AI can address: - Manual engagement is time-consuming and error-prone - Scale requirements exceed human capacity - Real-time decisions require ins

Web scraping has transformed with AI: instead of brittle CSS selectors that break on any site change, LLMs can extract structured data from any page layout. This guide covers AI-powered scraping architecture, using Playwright and Puppeteer with LLMs, converting messy HTML to structured JSON, handling CAPTCHAs and anti-bot measures, building scalable scraping pipelines, and legal/ethical considerations for web data collection.

AI Language Pronunciation Coach Overview AI-powered pronunciation feedback for language learners. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo

AI for Mindfulness and Meditation Overview Personalized mindfulness content and session guidance. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo

Make.com (formerly Integromat) is the most powerful visual automation platform for complex enterprise workflows. This guide covers building sophisticated AI scenarios: multi-step data transformation with AI, error handling patterns for AI workflows, HTTP module for custom AI APIs, data store patterns for AI context, and 20 enterprise-ready scenario templates covering finance, HR, marketing, and operations use cases.

AI Content Gap Analysis: Practical Tutorial Overview Identifying content gaps with AI competitive analysis Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI(

Text Classification with LLMs Overview Zero-shot and few-shot text classification using large language models. This guide provides practical, production-ready implementations. **Category**: nlp **Primary Tool**: openai **Tags**: nlp, classific

OCR with Large Vision Models Overview Advanced optical character recognition using VLMs. This guide provides practical, production-ready implementations. **Category**: multimodal-ai **Primary Tool**: openai **Tags**: multimodal, vision, ocr P

n8n is the most powerful open-source workflow automation tool, and with AI integration it becomes extraordinary. This guide covers building AI automation workflows: connecting OpenAI and Anthropic to any business process, RAG pipelines in n8n, AI-powered data transformation, email and Slack automation with AI, web scraping and data enrichment, and self-hosting n8n for privacy-sensitive workflows. Includes 15 ready-to-use workflow templates.

Claude 3.7 Extended Thinking Overview Leveraging Claude 3.7 Sonnet extended thinking mode. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_claude_

BGE Reranking Models Overview Improving RAG with BGE cross-encoder reranking. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_bge_reranking_models

Supabase + pgvector Integration Guide 2026 Overview This guide shows you exactly how to add vector search to Supabase apps using Supabase and pgvector. We cover setup, core integration, and production-ready patterns. Prerequisites - Supabase envi

GraphQL AI Resolvers: Complete Integration Guide Overview AI-powered GraphQL API resolvers. This comprehensive guide covers everything you need to know for production implementation. Why It Matters GraphQL AI Resolvers: Complete Integration Guide

AI for Solo Founders and Indie Hackers Overview Building AI-powered products as a single developer or small team Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = O

AI for Education Platforms Overview Pedagogically sound AI features for learning platforms Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() class Handler

PostgreSQL pgvector vs Dedicated DBs: Side-by-Side Comparison Overview Comparing vector search in SQL vs purpose-built stores — comparing operational simplicity across postgresql and qdrant. This comprehensive guide covers everything you need to kn

Evidently AI Monitoring: Complete Setup Guide Overview Open-source ML monitoring and data drift detection Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI()

AI-Powered Recommendation System What You'll Build Building content recommendations with embeddings. By the end of this tutorial, you'll have a fully working implementation you can extend for production use. **Time**: ~25 minutes **Difficulty**:

AI Supply Chain Optimization AI optimizes supply chains by predicting demand and identifying disruptions early. ```python from openai import OpenAI client = OpenAI() def predict_supply_risk(supplier_data: dict) -> dict: r = client.chat.complet

FastAPI vs LangServe: Side-by-Side Comparison Overview API framework comparison for LLM application deployment — comparing deployment across fastapi and langserve. This comprehensive guide covers everything you need to know for production implement

Topic Modeling with LLMs Overview Modern topic modeling using LLM-based approaches. This guide provides practical, production-ready implementations. **Category**: nlp **Primary Tool**: openai **Tags**: nlp, topics, text-processing Prerequisit

MCP Streaming Responses: Complete Guide Overview Implementing streaming in MCP server responses. This comprehensive guide covers everything you need to know for production implementation. Why It Matters MCP Streaming Responses: Complete Guide is

AI for Insurance Underwriting Overview ML-powered risk assessment and underwriting automation. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model

Zero-Shot Prompting: Complete Guide What is Zero-Shot Prompting? Zero-Shot Prompting is a prompting technique that involves direct task specification without examples. It is particularly effective for classification and generation. When to Use Zer

AI Docstring Generator Overview Auto-generating documentation with LLMs in CI/CD. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic python-dotenv Set API

Streaming RAG: Advanced RAG Tutorial Overview Implementing streaming responses for RAG applications. This guide provides complete, production-ready implementation. Key Concepts Understanding streaming rag: advanced rag tutorial requires: 1. **Co

AI for Solo Indie Hackers Overview Maximizing AI leverage as a solo developer building products. A comprehensive reference guide for insights practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai_for_s

Swift AI on iOS: Complete Integration Guide Overview On-device AI integration for iOS applications. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Swift AI on iOS: Complete Integration Gu

Next.js AI Integration: Complete Integration Guide Overview Adding AI features to Next.js applications. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Next.js AI Integration: Complete Int