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Why use DeepSeek to build a personal knowledge base
This is an article about how to use DeepSeek to build a personal knowledge base? The main contents of the mind map include: description, 3. Typical application scenarios, 2. Key techniques and precautions, 1. Selection of core methods and tools.
Edited at 2025-02-11 14:12:45- DeepSeek User Guide Collection
In order to help everyone use DeepSeek more efficiently, a collection of DeepSeek guide mind map was specially compiled! This mind map summarizes the main contents: Yitu related links, DS profile analysis, comparison of DeepSeek and ChatGPT technology routes, DeepSeek and Qwen model deployment guide, how to make more money with DeepSeek, how to play DeepSeek, DeepSeek scientific research Application, how to import text from DeepSeek into MindMaster, the official recommendation of DeepSeek Wait, allowing you to quickly grasp the essence of AI interaction. Whether it is content creation, plan planning, code generation, or learning improvement, DeepSeek can help you achieve twice the result with half the effort!
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Why use DeepSeek to build a personal knowledge base
- DeepSeek User Guide Collection
In order to help everyone use DeepSeek more efficiently, a collection of DeepSeek guide mind map was specially compiled! This mind map summarizes the main contents: Yitu related links, DS profile analysis, comparison of DeepSeek and ChatGPT technology routes, DeepSeek and Qwen model deployment guide, how to make more money with DeepSeek, how to play DeepSeek, DeepSeek scientific research Application, how to import text from DeepSeek into MindMaster, the official recommendation of DeepSeek Wait, allowing you to quickly grasp the essence of AI interaction. Whether it is content creation, plan planning, code generation, or learning improvement, DeepSeek can help you achieve twice the result with half the effort!
- DeepSeek 30 feeding level instructions
This is a mind map about DeepSeek's 30 feeding-level instructions. The main contents include: professional field enhancement instructions, interaction enhancement instructions, content production instructions, decision support instructions, information processing instructions, and basic instructions.
- Voice recognition commercial solution
This is a mind map about a commercial solution for task speech recognition. The main content includes: text file content format:, providing text files according to the same file name as the voice file.
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- Outline
Why use DeepSeek to build a personal knowledge base?
1. Core methods and tool selection
DeepSeek builds a personal knowledge base mainly with the following three mainstream solutions, which can be selected according to your needs:
1. Local deployment solution (high privacy, computing power support)
Core tools: Ollama DeepSeek-R1 model vectorization tools (such as BGE-M3) visual interface (CherryStudio/AnythingLLM)
step
Install Ollama: Download and install the tool for running DeepSeek models locally
Download the model: Install the DeepSeek-R1 model through Ollama (parameters can be optional 1.5B or 7B), and download the embedded model BGE-M3:
Deploy visualization tool: Install CherryStudio or AnythingLLM for uploading documents and interactive Q&A
Upload knowledge base files: drag local documents (such as PDF, TXT) into the tool, automatically generate vector indexes and support Q&A
Advantages: The data is fully localized and suitable for processing sensitive information (such as medical records, corporate reports)
Disadvantages: requires higher configuration GPU support, and the deployment complexity is high
2. Cloud-based lightweight solution (quickly get started, low threshold).
Core tool: Seta AI Q&A pair generation (Doubao/Kimi)
step
Generate Q&A pairs: Use bean buns or Kimi to analyze documents (such as the instruction manual) to generate structured Q&A pairs (to improve model understanding effect)
Upload to Secret AI: Save the Q&A pair as a TXT file, drag it into Secret AI to automatically generate a vector database
Interactive Q&A: Select the "deep thinking" or "concise answer" mode in Secret Tower AI, and ask questions based on the knowledge base.
Advantages: No local computing power is required, suitable for personal quick construction of knowledge bases (such as study notes, family documents)
Disadvantages: Relying on third-party platforms may pose data privacy risks.
3. Enterprise-level solution (open source framework DeepSeek V3)
Core Tools: MaxKB (Open Source Knowledge Base System) DeepSeek V3 API
step
Deploy MaxKB: Install MaxKB on the server, support Ubuntu/CentOS system
Connect to DeepSeek: Bind DeepSeek API Key in MaxKB settings (register on the official website for free to get 5 million tokens)
Building a knowledge base: upload documents and automatically chunked vectorization, supporting web page crawling and multi-format file import.
Advantages: Supports privatized deployment and API calls, suitable for enterprise-level knowledge management (such as customer service system, internal training)
2. Key techniques and precautions
Document preprocessing
Using question-and-answer formats (rather than plain text) can significantly improve model understanding accuracy
Complex documents are recommended to split into 1000-2000 characters fragments to avoid information loss
Model selection
DeepSeek-R1 is preferred for Chinese scenarios (Chinese optimization), and DeepSeek-V3 is recommended in English or multi-language (open source and supports 128K context)
Cost control
In the initial local deployment, 1.5B small model is recommended, and at least 16GB of video memory is required for 7B and above.
Cloud API call cost as low as 1 yuan/million tokens, suitable for high-frequency query
3. Typical application scenarios
Scene Recommended plan Tool combination Personal privacy document management Local deployment Ollama DeepSeek-R1 AnythingLLM Corporate Knowledge Base MaxKB DeepSeek V3 Cloud API private server Quickly build temporary libraries Secret Tower AI Q&A pair generation Beanbao/Kimi Seita AI
Through the above solutions, users can flexibly choose construction methods based on data sensitivity, computing power conditions and application scenarios.
illustrate
1. Map making tool: Mindmaster, making: empty tea cup