HiveChat - an open-source AI chatbot that supports mainstream AI models such as Deepseek.

What is HiveChat?

HiveChat is an AI chat application designed for small and medium-sized teams. It supports various mainstream AI models, such as OpenAI, Claude, Gemini, and Deepseek. HiveChat features LaTeX and Markdown rendering, image understanding, AI agents, and provides cloud data storage. Administrators can easily configure models and manage users, while ordinary users can quickly log in and use the app. HiveChat provides teams with an efficient and convenient AI-assisted communication solution.

HiveChat's main functions

• AI model support and integration:
  • Multi-model supportHiveChat supports a variety of mainstream AI models, including OpenAI, Claude, Gemini, DeepSeek, Moonshot, Volcano Ark (Doubao), Alibaba Hundred Refinements (Qianwen), Baidu Qianfan, Ollam, and Silicon Flow.
  • Model Function IntegrationUsers can leverage the powerful capabilities of AI models, such as natural language processing, text generation, and image understanding, to improve communication efficiency.
• Intelligent interactive functions:
  • Text interactionUsers engage in text-based conversations with AI, which then understands and generates natural language responses.
  • Image understandingIt supports users uploading images, and AI can analyze and interpret the image content to provide relevant information.
  • LaTeX and Markdown renderingIt supports complex text formatting and formula display, making it suitable for academic discussions or technical teams.

HiveChat's technical principles

• Front-end interactionTailwindCSS, a React-based framework, supports server-side rendering (SSR) and static page generation (SSG), optimizing page load speed and SEO. It's used to quickly build custom interfaces, offering flexible style configurations. Ant Design provides a rich set of UI components for building modern front-end interfaces.
• Backend processing and data managementPostgreSQL, as a relational database, is used to store user data, chat logs, configuration information, etc. Drizzle ORM simplifies database operations and provides type-safe database interactions. Auth.js is used for user authentication and authorization, supporting multiple authentication methods (such as email, password, etc.). After receiving a request from the frontend, the backend calls the corresponding AI model interface based on the request type (such as text conversation, image processing, etc.).
• Deployment and ExpansionHiveChat offers multiple deployment options, including local deployment, Docker deployment, and cloud platform (such as Vercel) deployment. Local deployment is based on configuring .env files and initializing the database, allowing users to run HiveChat locally. Docker deployment leverages Docker containerization, simplifying environment dependencies and facilitating rapid deployment across different environments. Cloud platforms like Vercel offer the advantages of rapid deployment and automatic scaling.

HiveChat project address

• GitHub repository:https://github.com/HiveNexus/HiveChat

HiveChat Application Scenarios

• Internal corporate communicationImprove team communication efficiency and assist in generating meeting minutes and organizing information.
• Academic and EducationIt supports academic writing and teaching Q&A, and is suitable for handling complex academic content.
• Creativity and Content CreationSpark creative inspiration and quickly generate copy and design scripts.
• Technical support and customer serviceWe help solve technical problems and provide intelligent solutions for our clients.
• Small team project managementIt offers flexible management of project schedules and permissions, making it suitable for teams with limited budgets.