12 Questions
What is one of the benefits of Dify's transparent policies around product specifications?
Facilitating deeper comprehension within the community
How quickly does Dify onboard new mainstream models?
Within 48 hours
What is a key feature of Dify's visual orchestration interface?
Modify Prompts and preview effects in one place
Which type of interface does Dify offer for visual knowledge base management?
Industry-first visual interface with snippet previews
What does Dify automate cleaning for in terms of formats?
TXT, Markdown, PDF, HTML, DOC, CSV
What is the basis for similarity-based replies in Dify?
Human-annotated Q&As
What are some advantages of Dify's transparent policies around product specifications?
Ensuring decisions are made based on complete understanding and promoting deeper comprehension within the community for active contributions.
What are some key features of Dify's visual workflow orchestration interface?
Live-editing node debugging, modular DSL, and native code runtime.
What is unique about Dify's visual knowledge base management interface?
It is industry-first and supports snippet previews and recall testing.
What are the formats that Dify automates cleaning for?
TXT, Markdown, PDF, HTML, DOC, CSV.
What is the turnaround time for Dify to onboard new mainstream models?
Within 48 hours.
What type of support does Dify's unstructured service provide?
Maximum support.
This document provides insights into Dify's unique advantages in LLM application tech stacks, highlighting transparent policies and quick adoption of new mainstream models. Discover how these advantages not only aid in technical selection but also promote community understanding. Learn about Dify's collaborations with top organizations like OpenAI and Anthropic.
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