how to build agentic workflows with Dify
Set it up in 3 steps
- Install Docker and Docker Compose v2.24.0 or later
- Clone the Dify repository and run docker compose up -d
- Access the dashboard at localhost to start initialization
Key points
- Visual canvas for building and testing AI workflows
- Support for hundreds of proprietary and open-source models
- Extensive RAG capabilities for document ingestion and retrieval
- Autonomous agents capable of running commands and handling files
Sources
FAQ
What are the system requirements for self-hosting Dify?
The minimum requirements are a CPU with at least 2 cores and 4 GiB of RAM.
Which models does Dify support?
It supports hundreds of models including GPT, Mistral, Llama3, and any OpenAI API-compatible models.
Video transcript (Hinglish)
Ab aap Dify se complex agentic workflows aur RAG pipelines bina coding ke bana sakte hain. Chalo batata hoon kaise lekin pehle AI Jockey ko follow kar lena. Dify ek open-source LLM app development platform hai jo prototype se production tak ka safar asaan banata hai. Isme aap visual canvas par powerful AI workflows build aur test kar sakte hain. Ye GPT, Mistral aur Llama jaise saikdon proprietary aur open-source models ko support karta hai. Aap PDFs aur PPTs se text extract karke apna khud ka RAG pipeline taiyar kar sakte hain. Iske autonomous agents software install kar sakte hain aur files handle karke mushkil tasks poore karte hain. Dify ko aap cloud par ya apne khud ke server par self-host bhi kar sakte hain. Lekin yaad rakhiye self-hosting ke liye aapke machine mein kam se kam 4GB RAM honi chahiye. Ye tool developers aur AI teams ke liye best hai jo bina stack badle scale karna chahte hain. Comment karo WORKFLOW, main link aur 3-step setup guide DM kar dunga.