This article will guide readers on how to upgrade Dify easily.
Before you begin, make sure you have the following two tools installed:
- Dify Local Deployment: This is the basis of the upgrade operation.
- Cursor: An AI programming tool that dramatically improves development efficiency.
Optional Tools::
- Silicon-based flow: An API aggregation platform that facilitates the use of the Dify Integration of multiple services such as large language modeling, drawing, video and speech in the
Registration link:Silicon-based flow
As usual, the advantages of upgrading are described first. The ease of automated operation can dramatically simplify the upgrade process.
Step-by-step instructions for upgrading (the whole process takes only one prompt word)
Mastering cues is the key to using AI tools effectively. Cue words are the bridge to AI.
Key Tip:
The degree of knowledge of AI tools determines the efficiency of use. The skills that users master, AI can almost always realize; the skills that users do not have, AI can not create out of thin air, unless it is a new technology that has not yet appeared. Therefore, the communication ability determines the efficiency of the user's use of AI.
This upgrade process only requires the following prompts. The thinking command uses MCP (Mind Chain Prompt) to assist the AI in disassembling the upgrade process.
使用thinking进行分析,我需要从dify1.0.0升级到dify1.1.1,我的操作系统是 windows 10 版本,dify 是通过 docker 启动的。请参考更新操作说明 @https://github.com/langgenius/dify/releases/tag/1.1.1,直接完成升级,并展示升级后的页面。
Cursor automates the complete process::
The following screenshot shows the Cursor Automates the entire process of Dify upgrades with no additional command input from the user.
Dify Version 1.1.1 Updates
Once the upgrade is complete, learn about the major updates in version 1.1.1.Dify v1.1.0 New "Metadata" Smart Filter for Knowledge Bases
This release mainly fixes several bugs related to metadata.To help readers understand, here is a brief introduction to the concept of metadata and its role.
The role of metadata
Metadata is data about data that provides additional descriptive information about documents in a knowledge base. In Dify v1.1.0, metadata plays a role in the following areas:
- Improve Search Efficiency: Metadata helps users filter and find information more quickly by adding tags and categories to documents. For example, users can quickly locate the documents they need based on metadata fields such as author, document type, upload date, etc., thus saving time and improving efficiency.
- Enhanced Data Security: Setting access rights through metadata can ensure that only authorized users can access sensitive information. For example, by using numerical metadata to set the privacy level, users can limit the privacy level of the retrieval results and safeguard data security.
- Optimize data management capabilities: Metadata helps a business or organization to effectively classify and store data, enhancing data management and retrieval capabilities. For example, with temporal metadata, it is possible to distinguish between old and new versions of a document, ensuring consistency in data processing.
- Support for automated processes: In scenarios such as document management and data analysis, metadata can automatically trigger tasks or operations, streamlining processes and improving overall efficiency.