990 words, reading time: about 5 minutes

Building an Intelligent Knowledge Base - Knowledge Acquisition: Obsidian Web Clipper's AI Automation Process

This paper focuses on the knowledge acquisition stage. AI in Practice.pass Obsidian Web Clipper and DeepSeek Platform to achieve automatic extraction Article Tags,Intelligent summary of key points,Generate value evaluationThe article provides a detailed practical guide, including plugin download, basic configuration, interpreter configuration and other steps, as well as practical examples on Android mobile terminals  .

The knowledge base construction is divided into 4 stages:Knowledge Acquisition->Knowledge organization->Knowledge connection->Knowledge output).

Knowledge acquisition, knowledge organization, knowledge connection, knowledge output

What tools do we use in the knowledge acquisition stage, and how do we use AI to improve efficiency?

Extract content

When we save an article to read later, we need to at least understand the following content to support us in making a card note.

1. 1. Sentence summary + key point extraction
2. 2. Generate reviews to highlight their value and applicable scenarios
3. 3. Extract article tags: tags for limited fields, such as software development

Before AI, we might have needed to read through the content before drawing conclusions, but now we can retrieve the above information immediately after saving it.

Practical Guide

Plugin Download

Obsidian Web Clipper is a browser plug-in. Plug-in installation: download address , supports Chrome, Firefox, Edge, Safari and other mainstream browsers.

Basic Configuration

1. 1. Create a new template configuration to save the web page as markdown. The more important settings here include vault and Folders
2. 2. Add a new Unfiled of Label, so that you can search and sort by unarchived in obsidian

Interpreter Configuration

What is an Interpreter

The interpreter is a feature designed specifically for the obsidian web clipper that allows users to interact with web pages using natural language. The interpreter helps users capture and modify the captured content and save it to Obsidian. For example:

1. 1. Extract specific text fragments.
2. 2. Summarize or explain the information.
3. 3. Translate the text into another language.

Essentially this is a RAG program, the context is the page the interpreter uses to process prompts, the smaller the context, the faster the interpreter runs.

Interpreter model configuration

1. 1. Open the DeepSeek-api service on the DeepSeek official website  and create an API key
2. 2. In Obsidian Web Clipper Plugin configuration page, add model provider, add DeepSeek Model;

Collection content configuration

Configure interpreters, customize prompt words, and generate summaries during collection

It is recommended to configure 2 templates, 1 with AI enabled and 1 without AI enabled.

The interpreter context can use the default one. To collect specific websites, you can customize the html selector to reduce token consumption.

Note content configuration

Unfiled,{{ "3 tags, comma separated" }}

# {{"Chinese title of this article"}}
{{ "The Chinese abstract of this article, extracting the core content in one sentence, and 3 key points, presented in an ordered list" }}
{{ "A brief review of this article, highlighting its value and applicable scenarios" }}

---

{{content}}

Mobile

I am using Android, installed Obsidian and Firefox, then enabled account synchronization in Firefox, and imported the configuration in Obsidian Clipper

Import the configuration on your computer

Article highlight example

Collection Example

Click Add to Obsidian, and the markdown will be automatically stored in the corresponding directory of the vault. After the mobile phone detects the file update, the liveSync plug-in will automatically synchronize, and then you can enter the knowledge organization stage.

Summary This article focuses on the most critical aspects of knowledge base construction 
Knowledge Acquisition Stage, introduces how to use Obsidian official Obsidian Web Clipper To achieve data collection and AI intelligent extraction