Guozhen AIGlobal AI field notes and model intelligence

English translation

An AI That Understands My Files: Learning Thousands of Local Documents and Generating Reports

Published: 2026-05-17

Category: AI field notes

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Field note #100Views are counted together with the original Chinese articleScreenshots preserved from the original article

Hi, I am Guozhen.

Finally, there is an AI that can accurately learn PDFs, Word documents, Excel files, and many other files on your computer.

It supports thousands or tens of thousands of local files. When answering questions, it automatically searches my computer files for answers. Even if the input is not precise, it can retrieve related material semantically, summarize it into a report, and export a Word document to the desktop.

If you have similar needs, this article may be useful.

These features were recently upgraded, with more practical capabilities added in DeepSeekMine V3.1.0.

This article reports the latest 2026 development progress, core features, and download method for DeepSeekMine. It has already learned nearly 14 million pages of files for users, covering doctors, lawyers, accounting and finance professionals, researchers, and many other industries:

DeepSeekMine local knowledge base report generation

1. What DeepSeekMine can do

Before introducing the local update, here is a brief overview for readers seeing DeepSeekMine for the first time.

In one sentence: DeepSeekMine can automatically learn your computer files. Below, it has learned 14,000 files from my computer:

DeepSeekMine local knowledge base report generation

The GIF below shows DeepSeekMine learning files I uploaded:

DeepSeekMine local knowledge base report generation

After learning is complete, it can understand text and images, supporting multimodal learning:

DeepSeekMine local knowledge base report generation

It answers with text and images based on your files and supports both cloud and local modes:

DeepSeekMine local knowledge base report generation

It automatically combines the learned local files on the left and answers with text plus images:

DeepSeekMine local knowledge base report generation

It can also search and analyze foreign-language literature:

DeepSeekMine local knowledge base report generation

Answers include complete citation sources. Clicking the citation block can jump directly to the corresponding paragraph in the source file. Formulas inside files are also supported:

DeepSeekMine local knowledge base report generation

It can use GPT, Gemini, Claude, and other top models without extra network workarounds, as shown above.

Every generated answer can be exported as a Word document. Text, images, and reference sources are exported together:

DeepSeekMine local knowledge base report generation

It supports deep research mode:

DeepSeekMine local knowledge base report generation

To make answers more professional, it includes four preset modes: general, legal, medical, and research. Users can switch based on the task:

DeepSeekMine local knowledge base report generation

It supports joint answering across multiple knowledge bases:

DeepSeekMine local knowledge base report generation

It also supports knowledge-base migration export, NAS file movement and copying, and similar workflows:

DeepSeekMine local knowledge base report generation

2. Core upgrades in V3.1.0

  1. LM Studio local model access was added. In addition to Ollama, this version supports LM Studio. Below, a distilled DeepSeek-V4 model is connected:

DeepSeekMine local knowledge base report generation

Using the distilled DeepSeek-V4 model, the thinking process is fully visualized:

DeepSeekMine local knowledge base report generation

  1. A quiz-generation agent was added:

DeepSeekMine local knowledge base report generation

It can generate practice questions from knowledge-base materials with one click:

DeepSeekMine local knowledge base report generation

It includes complete explanations and references to the relevant document paragraph:

DeepSeekMine local knowledge base report generation

  1. A flashcard learning agent was added:

DeepSeekMine local knowledge base report generation

It can generate review cards from selected materials with one click:

DeepSeekMine local knowledge base report generation

  1. EML email file upload is now supported. It currently supports learning from 33 document formats:

DeepSeekMine local knowledge base report generation

  1. Learning for complex documents, images, and tables was further improved. Even papers with complex formulas can be handled:

DeepSeekMine local knowledge base report generation

Tables can also be learned:

DeepSeekMine local knowledge base report generation

  1. Publication-grade translation is supported. Layout-preserving translation has been optimized:

DeepSeekMine local knowledge base report generation

The left side is the source file, and the right side is the translated layout:

DeepSeekMine local knowledge base report generation

This solves the common problem of messy layout when translating foreign-language papers.

  1. The interface reading experience was also optimized. The home page, AI replies, Markdown reading area, right-side panel, generation history, and data-analysis area now use more consistent styles:

DeepSeekMine local knowledge base report generation

New-user guidance was added, and multiple upload, desktop runtime, export, and display issues were fixed, including upload lag, startup errors, Word export range, citation layout, large tables, and scrollbars:

DeepSeekMine local knowledge base report generation

Overall stability has improved noticeably.

3. How to get the latest DeepSeekMine

The usage flow is simple and beginner-friendly.

Step one: download it from the official site:

https://deepseekmine.com/download

DeepSeekMine local knowledge base report generation

Step two: install it by double-clicking the installer.

Step three: open the software, drag in files, and ask questions. No configuration is required:

DeepSeekMine local knowledge base report generation

Final thoughts

DeepSeekMine V3.1.0 brings LM Studio local model access, a quiz-generation agent, a flashcard agent, and several other improvements.

The interface reading experience and new-user guide are also better, and the overall experience is more stable.

This English edition preserves the screenshots and workflow order from the original Chinese article.

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