Wuwenxinqun

This document was translated from Chinese by AI and has not yet been reviewed.

This document was translated by AI from Chinese and has not yet been reviewed. I will try to check the document one by one to ensure the translation is reasonable.

Are you experiencing this: You've saved 26 insightful articles on WeChat but never opened them again, you have 10+ scattered files in your "study materials" folder on your computer, and you want to find a theory you read half a year ago but only remember a few keywords? When the daily information load exceeds the brain's processing limit, 90% of valuable knowledge will be forgotten within 72 hours. Now, by building a personal knowledge base with the Infini-AI large model service platform API + Cherry Studio, you can transform WeChat articles collecting dust and fragmented course content into structured knowledge for precise retrieval.

1. Building a Personal Knowledge Base

1. Infini-AI API Service: The "Thinking Core" of Your Knowledge Base, Easy to Use and Stable

As the "thinking core" of the knowledge base, the Infini-AI large model service platform provides model versions like DeepSeek R1 Full Version, offering stable API services. Currently, after registration, it's free to use with no thresholds. It supports mainstream embedding models such as bge and jina to build knowledge bases. The platform also continuously updates the latest and strongest stable open-source model services, including various modalities like images, videos, and audio.

2. Cherry Studio: Building a Knowledge Base with Zero Code

Cherry Studio is an easy-to-use AI tool. Compared to the 1-2 month deployment cycle required for RAG knowledge base development, the advantage of this tool is that it supports zero-code operations. It allows one-click import of multiple formats such as Markdown/PDF/web pages, parses a 40MB file in 1 minute, and can also add local computer folders, WeChat favorites article URLs, and course notes.

2. 3 Steps to Build Your Exclusive Knowledge Butler

Step 1: Basic Preparation

1. Visit the Cherry Studio official website to download the compatible version (https://cherry-ai.com/)

2. Register an account: Log in to the Infini-AI large model service platform (https://cloud.infini-ai.com/genstudio/model?cherrystudio)

• Get API Key: In "Model Marketplace", select deepseek-r1, click to create and get the API KEY, then copy the model name.

Step 2: Open CherryStudio Settings, select Infini-AI in Model Services, fill in the API Key, and enable the Infini-AI model service.

After completing the above steps, you can use Infini-AI's API service in CherryStudio by selecting the required large model during interaction. For convenience, you can also set a "Default Model" here.

Step 3: Add Knowledge Base

Select any version of the bge series or jina series embedding models from the Infini-AI large model service platform.

3. Real User Scenario Test

• After importing study materials, enter "Summarize the core formula derivation of Chapter 3 of 'Machine Learning'"

Generated Result Image Attached