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Dify Troubleshooting: Model Setup to Knowledge Base
The model will not connect, uploads go nowhere, the bot ignores the knowledge base, answers get invented. Sorted by symptom, each with a diagnostic order.
Tutorials · · 7 min read
See the stepsDify Agent Guide: Let the AI Pick Its Own Tools
A Chatbot only queries the knowledge base; you order a Workflow's steps. An Agent picks its own tools and rounds. How to configure it, and when not to.
Tutorials · · 7 min read
See the stepsDify Workflow Guide: From Single-Turn Chat to Multi-Step
A chatbot only does one question, one answer. Once you need to classify, then look up data, then compose a reply, you need a Workflow. Here is how nodes fit.
Tutorials · · 7 min read
See the stepsDify Knowledge Bases: Chunking, Indexing and Retrieval
Your knowledge base decides whether the bot makes things up. What happens after upload, how to pick a chunk size, the three retrieval modes, and where to debug.
Tutorials · · 7 min read
See the stepsDify Pre-Purchase FAQ: Costs, Knowledge Base, Commercial Use
The most common pre-subscription questions: are model costs included, how much fits in a knowledge base, is 2 vCPU enough, is commercial use allowed.
FAQ · · 5 min read
See the stepsDify plus n8n: AI Understands, n8n Executes
Want an assistant that understands people and gets things done? Dify alone or n8n alone stalls. Where the line falls, and when you only need one.
Architecture · · 7 min read
See the stepsAs Your Dify Knowledge Base Grows: Quality vs Resources
Most people assume more data means better answers. Usually it is the opposite. What happens as a knowledge base grows, and how to tune chunking and Top-K.
Architecture · · 7 min read
See the stepsDify Hosting Limits: When 2 vCPU Is Not Enough
Dify is resource-hungry, but where is often misunderstood: model inference does not run on your machine. The three real consumers, and when to add resources.
Architecture · · 7 min read
See the stepsSelf-Hosting Dify vs Managed: A Real Monthly Cost Breakdown
Dify is not a single container. The official Docker Compose brings up the API, worker, frontend, PostgreSQL, Redis and a vector database all at once.
Architecture · · 6 min read
See the stepsDify vs Coze vs Flowise: How to Pick an LLM App Platform
Three tools that look alike but are built for different goals. A breakdown of data residency, RAG depth, licensing risk and self-hosting effort.
Architecture · · 7 min read
See the stepsDify FAQ: API Keys, Tuning Knowledge Bases and Resources
Who do you pay for the API key? How do you fix inaccurate knowledge base answers? Why are Dify plans pricier? The questions Dify users hit most often.
FAQ · · 5 min read
See the stepsDify's Strengths: RAG, Workflows and Its Resource Needs
Dify is one of the most resource-hungry services here (2 CPU cores, 10 GB of storage). Why its architecture needs that, and what RAG and workflow orchestration solve.
Architecture · · 7 min read
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