NativeMind

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A locally deployed intelligent Q&A system that supports the rapid transformation of private documents into interactive knowledge assistants.

Language:
zh,en
Collection time:
2025-07-08
NativeMindNativeMind

What is NativeMind?

NativeMind is a locally deployed AI knowledge quiz system that focuses on transforming enterprise or personal local documents (such as PDF, Word, TXT, etc.) into interactive AI assistants to help users efficiently get the information they need. It is based on a large language model and semantic search technology, supports offline operation, and protects data privacy and security. Users can import documents of various formats, quickly build a knowledge base, and get accurate answers through natural language questions, which is widely used in enterprise knowledge management, customer service assistance, education and training, professional Q&A, etc. NativeMind is easy to operate, highly scalable, and an ideal choice for realizing privatized intelligent Q&A.

Key Features of NativeMind

  1. Local Knowledge Quiz
    NativeMind can access multiple document formats (PDF, Word, Markdown, TXT, etc.), automatically parses and builds vector indexes, and realizes semantic matching between natural language questions and native documents.

  2. Private deployment and offline operation
    Supports local deployment, running on PCs, intranet servers or private clouds, ensuring that sensitive corporate data does not leave the local environment.

  3. multimodal support
    In addition to text, it also supports the access and intelligent processing of images, audio and other data, providing richer support for complex scenes.

  4. Intelligent Assistant Build
    Users can customize multiple knowledge intelligences based on different knowledge bases for customer service, assistant, training and other purposes.

  5. Plug-ins and API extensions
    Provide plug-in mechanisms and API interfaces for extended access to internal enterprise systems (e.g. ERP, CRM, OA, etc.).

Scenarios for using NativeMind

  • Intra-enterprise knowledge management: Realize quick Q&A and knowledge self-help for employees by accessing rules and regulations, business manuals, meeting minutes, etc.
  • Personal knowledge management: Upload books, notes, papers and more to create your personal local AI learning assistant.
  • Legal, medical, financial and other specialized fields: Build private, professional Q&A systems to aid analysis and decision-making.
  • Customer Service Assistance and Auto-Responders: Provide a real-time knowledge reference for customer service agents or replace manual labor for initial Q&A.
  • Education and training: A personalized, structured knowledge quiz tool for teachers or students.

Instructions for using NativeMind

  1. Deployment
    Users can get the installation package or Docker image from the official NativeMind, and deploy it to local devices with one click.

  2. Importing documents
    Batch import various documents through the upload interface or specified folders, the system will automatically parse the content and build a knowledge base.

  3. Question Interaction
    Enter a question in the Q&A interface and the system will answer the user's question based on semantic search and a large model.

  4. intelligent body management (religion)
    Multiple actor intelligences can be created based on the knowledge source, each with a different tone, context and task orientation.

Why do you recommend NativeMind?

  • Data Privacy Protection: Full process offline operation, suitable for industries that require high data sensitivity.
  • fast response time: Local deployment does not rely on extranets, Q&A response is fast and stable.
  • Flexible access and multiple formats: Supports rich document types and data sources, making it easy to build a diversified knowledge base.
  • easy-to-use: Provides a graphical interface and easy configuration methods, without the need to develop a background to quickly get started.
  • Highly scalable: Supports multi-model, multi-task, and multi-intelligence body architectures to meet the needs of different scenarios.

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