# Wenxin Yiqing

Are you experiencing this: you’ve saved 26 practical articles in WeChat Favorites but never opened them again; your computer has 10+ scattered files in a folder called “Study Materials”; you want to find a theory you read half a year ago but only remember a few keywords. And when the amount of information you receive each day exceeds your brain’s processing limit, 90% of valuable knowledge is forgotten within 72 hours.\
Now, by using the Infini-AI Model Service Platform API + Cherry Studio to build a personal knowledge base, you can turn WeChat articles that have been gathering dust in Favorites and fragmented course content into structured knowledge for precise retrieval.\\

### 1. Building a Personal Knowledge Base

#### 1. Infini-AI API Service: The “thinking center” of your knowledge base — easy to use and stable

As the “thinking center” of the knowledge base, the Infini-AI Model Service Platform provides model versions such as the full-powered DeepSeek R1, offering stable API services,**Currently, after registration, it can be used for free with no barrier.**&#x49;t supports mainstream embedding models such as bge and jina to build a knowledge base,**and the platform is also continuously updating stable, latest, and most powerful open-source model services**covering multiple modalities such as images, video, and voice.

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-a567d4234d6bf570ab7a358a494d37134130446e%2F1280X1280%20(1).PNG?alt=media" alt=""><figcaption></figcaption></figure>

#### 2. Cherry Studio: Build a knowledge base with no code

Cherry Studio is an easy-to-use AI tool. Compared with RAG knowledge base development, which requires a 1–2 month deployment cycle, this tool’s advantage is that it supports**zero-code operation,**&#x61;nd can import Markdown/PDF/web pages and other formats with one click. A 40 MB file can be parsed in 1 minute. In addition, you can also add local computer folders, article URLs from WeChat Favorites, and course notes.\\

### 2. Build Your Exclusive Knowledge Manager in 3 Steps

#### Step 1: Basic Preparation

1. Visit the Cherry Studio official website to download the appropriate version (<https://cherry-ai.com/>)
2. Register an account: log in to the Infini-AI Model Service Platform (<https://cloud.infini-ai.com/genstudio/model?cherrystudio>)

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-3d0f79afa398925238c6ae6497b048fd54d06e84%2Fimage%20(90).png?alt=media" alt=""><figcaption></figcaption></figure>

* Get the API key: in the "Model Plaza", select deepseek-r1, click Create and get the APIKEY, and copy the model name

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-9938161d0b81e642dd7f8f38e847c616051f5c04%2Foutput%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

#### Step 2: Open CherryStudio settings, select Infini-AI in the model service, fill in the API key, and enable the Infini-AI model service

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-f8294af534c065fcf7027e088c407577bf90f836%2F1280X1280%20(2).png?alt=media" alt=""><figcaption></figcaption></figure>

After completing the above steps, choose the required large model during interaction, and you can use Infini-AI's API service in CherryStudio.\
For convenience, you can also set a "default model"\\

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-44cab58584ea6adf8266412f8e4cba1ece40e3d8%2F01445ab7-b863-4155-b517-2b6c3c581f47.png?alt=media" alt=""><figcaption></figcaption></figure>

Step 3: Add a knowledge base

Choose any version of the embedding models from the bge series or jina series on the Infini-AI Model Service Platform

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-8ae6235a724486ff3628030f0af1cd2195765bc9%2F1%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-4184264a1673cabef130813065ebdf5917c7beb5%2F2%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

### 3. Real User Scenario Test

* After importing the study materials, enter "Organize the core formula derivation of Chapter 3 of Machine Learning"

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-837bbbf7a6d5b5531c73f0ec37a4686372b72bf8%2F6bbdbd0d-5db4-4440-b840-3bb3f422b831.gif?alt=media" alt=""><figcaption></figcaption></figure>

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**See the generated result image**

<figure><img src="https://1658303467-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0Ut5BptC3t8CtSU1UWpM%2Fuploads%2Fgit-blob-716376ab3f2030a6ab3c21a941554f761ccc7e2c%2F3.gif?alt=media" alt=""><figcaption></figcaption></figure>
