[KongchangAI]

#AI编程

9638 related articles

Dify Local Deployment Guide: From Docker Installation to LLM Integration
·2 min

Dify Local Deployment Guide: From Docker Installation to LLM Integration

Step-by-step guide to deploying Dify locally: Docker and Docker Compose setup, pulling source code, starting containers, and admin initialization on Linux, Mac, and Windows.

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Complete Guide to Building AI Apps with Dify from Scratch: Five App Types and Workflows Explained
·3 min

Complete Guide to Building AI Apps with Dify from Scratch: Five App Types and Workflows Explained

Complete guide to building AI apps with Dify: covers Docker deployment, MySQL integration, five app types (Chatbot, Text Gen, Agent, Chatflow, Workflow), model connection, and publishing.

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Dify Beginner's Guide: Build AI Agents and Workflows Without Writing Code
·2 min

Dify Beginner's Guide: Build AI Agents and Workflows Without Writing Code

Dify beginner's guide: build AI agents, chat assistants, and workflows with zero code using a visual interface. Compare Dify vs Coze on private deployment.

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Getting Started with Dify: Core Value of the Open-Source AI App Development Platform and Its Private Deployment Advantages
·1 min

Getting Started with Dify: Core Value of the Open-Source AI App Development Platform and Its Private Deployment Advantages

Dify is an open-source LLM app platform for building AI Agents, RAG knowledge bases, and workflows — no code required. Learn how it compares to Coze and why private deployment matters for regulated industries.

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Stop Using Dumb Models: Why the 'Floor' of Frontier AI Matters More Than the 'Ceiling'
·3 min

Stop Using Dumb Models: Why the 'Floor' of Frontier AI Matters More Than the 'Ceiling'

A top AI developer rejects the "older models are just as good" take, arguing the floor—not the ceiling—of frontier AI is what matters, with real data proving exponential agent runtime gains.

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FAISS Vector Search in Practice: Lessons Learned From Embeddings to RAG
·2 min

FAISS Vector Search in Practice: Lessons Learned From Embeddings to RAG

A developer shares hands-on lessons building FAISS vector search and RAG pipelines, covering embeddings, metadata filtering, query rewriting, and hybrid retrieval.

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Three Stages of AI LLM Testing: A Practical Guide from Core Concepts to API Calls
·3 min

Three Stages of AI LLM Testing: A Practical Guide from Core Concepts to API Calls

A learning path for testers covering LLM fundamentals, prompt engineering, OpenAI SDK calls, API Key vs Token differences, streaming output, RAG, and Agent systems.

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Vercel's Chief of Software Looks Back: The Evolution of Agent Building — From Multi-Agent Chains to File System Agents
·3 min

Vercel's Chief of Software Looks Back: The Evolution of Agent Building — From Multi-Agent Chains to File System Agents

Vercel's Chief of Software Andrew recaps the agent-building journey at AI Engineer: from giant prompts to multi-agent chains, monolithic memory, file system agents, and the open-source EVE framework.

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3-Month LLM Learning Roadmap: From Zero to Agent Development, Fully Broken Down
·2 min

3-Month LLM Learning Roadmap: From Zero to Agent Development, Fully Broken Down

A 3-stage LLM learning roadmap for beginners: master prompts and APIs, build RAG-powered knowledge bases, then develop Agents with ReAct and multi-agent collaboration.

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Compiled AI Agent Architecture: Why We Chose Fixed Pipelines Over Runtime Decision-Making
·2 min

Compiled AI Agent Architecture: Why We Chose Fixed Pipelines Over Runtime Decision-Making

A developer shares how they compile natural language instructions into fixed pipelines instead of letting models decide at runtime — and why it matters for file ops.

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Career Switch to AI Agent Development from Scratch: A Three-Month Learning Roadmap
·2 min

Career Switch to AI Agent Development from Scratch: A Three-Month Learning Roadmap

What does it take to break into AI Agent development from scratch? This article breaks down a 3-month roadmap covering Python, Prompt Engineering, RAG, vector retrieval, and Agent development.

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@ai-sdk/valibot 3.0.44 Released: A Dependency-Update Patch
·1 min

@ai-sdk/valibot 3.0.44 Released: A Dependency-Update Patch

Vercel AI SDK releases @ai-sdk/valibot 3.0.44, a patch update syncing provider-utils to 5.0.44. Learn what this means for schema validation and the monorepo release pattern.

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Vercel AI SDK Releases @ai-sdk/typesafe-ai 3.0.3 Patch Update
·1 min

Vercel AI SDK Releases @ai-sdk/typesafe-ai 3.0.3 Patch Update

Vercel AI SDK releases @ai-sdk/typesafe-ai@3.0.3 patch update, syncing the provider-utils dependency to 5.0.44. Learn what this means and how to upgrade safely.

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Vercel AI SDK Releases @ai-sdk/vue 2.0.260 Patch Update
·1 min

Vercel AI SDK Releases @ai-sdk/vue 2.0.260 Patch Update

Vercel AI SDK releases @ai-sdk/vue 2.0.260, a patch update syncing with ai@5.0.260. Learn what this means for Vue developers building AI apps.

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@ai-sdk/voyage 2.0.44 Released: Dependency Update Patch Version
·1 min

@ai-sdk/voyage 2.0.44 Released: Dependency Update Patch Version

@ai-sdk/voyage 2.0.44 patch release syncs the underlying @ai-sdk/provider-utils dependency to 5.0.44, maintaining Vercel AI SDK ecosystem consistency with minimal risk.

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@ai-sdk/vue@4.0.106 Released: Dependency Updates and Patch Fixes
·1 min

@ai-sdk/vue@4.0.106 Released: Dependency Updates and Patch Fixes

Vercel AI SDK releases @ai-sdk/vue@4.0.106 patch update, syncing ai@7.0.106 and provider-utils@5.0.44 dependencies. Learn what this means for Vue developers.

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Vercel AI SDK Vue 3.0.286 Released: Dependency Updates and Patch Fixes
·1 min

Vercel AI SDK Vue 3.0.286 Released: Dependency Updates and Patch Fixes

The @ai-sdk/vue 3.0.286 patch release syncs dependencies and upgrades the core ai package to 6.0.286. Learn what this means for Vue developers using Vercel AI SDK.

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Vercel AI SDK Releases workflow-harness 1.0.116 Patch Update
·1 min

Vercel AI SDK Releases workflow-harness 1.0.116 Patch Update

Vercel AI SDK releases @ai-sdk/workflow-harness@1.0.116 patch update, syncing the @ai-sdk/harness dependency. Learn what this means for AI workflow developers.

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