Infinigence
This document was translated from Chinese by AI and has not yet been reviewed.
Infini-AI
Are you experiencing this: having 26 insightful articles saved in your WeChat Favorites that you never open again, more than 10 files scattered in a "study materials" folder on your computer, or trying to find a theory you read six months ago but only remembering a few keywords. When the daily amount of information exceeds your brain's processing limit, 90% of valuable knowledge is 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 those dust-gathering WeChat articles and fragmented course content into structured knowledge for precise retrieval.
I. Building a Personal Knowledge Base
1. Infini-AI API Service: The "Thinking Hub" of Your Knowledge Base, Easy-to-Use and Stable
As the "thinking hub" of the knowledge base, the Infini-AI Large Model Service Platform offers model versions like the full-power DeepSeek R1, providing stable API services. Currently, it's free to use with no barriers after registration. It supports mainstream embedding models like bge and jina for building knowledge bases. The platform also continuously updates with the latest, most powerful, and stable open-source model services, including various modalities such as images, videos, and voice.
2. Cherry Studio: Build 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, this tool's advantage is its support for zero-code operation. You can import multiple formats like Markdown/PDF/webpages with one click. A 40MB file can be parsed in 1 minute. Additionally, you can add local computer folders, article URLs from WeChat Favorites, and course notes.
II. Build Your Exclusive Knowledge Butler in 3 Steps
Step 1: Basic Preparation
Visit the official Cherry Studio website to download the appropriate version (https://cherry-ai.com/)
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 the "Model Square," select deepseek-r1, click create to get the APIKEY, and copy the model name.

Step 2: Open Cherry Studio settings, select Infini-AI in the Model Service, fill in the API Key, and enable the Infini-AI model service.

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

Step 3: Add a Knowledge Base
Select any version of the bge series or jina series embedding models from the Infini-AI Large Model Service Platform.


III. Real User Scenario Test
After importing study materials, enter "Summarize the core formula derivations in Chapter 3 of 'Machine Learning'"

Generated result shown below

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