Maxkb

What is Maxkb

MaxKB is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

Use cases

Use cases for MaxKB include automating customer support interactions, managing corporate knowledge repositories, assisting in academic research, and enhancing educational tools.

How to use

Users can deploy MaxKB by integrating it into their existing systems, utilizing its RAG capabilities for document processing, and configuring workflows to suit their specific needs.

Key features

Key features include RAG pipeline support for document uploading and crawling, automatic text splitting and vectorization, a powerful workflow engine, and advanced MCP tool-use capabilities.

Where to use

MaxKB is applicable in various fields such as intelligent customer service, corporate internal knowledge bases, academic research, and education.

An Open-Source AI Assistant for Enterprise

[中文(简体)] | [English]

MaxKB = Max Knowledge Brain, it is a powerful and easy-to-use AI assistant that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.

• RAG Pipeline: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
• Agentic Workflow: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios.
• Seamless Integration: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
• Model-Agnostic: Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
• Multi Modal: Native support for input and output text, image, audio and video.

Quick start

Execute the script below to start a MaxKB container using Docker:

docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages 1panel/maxkb

Access MaxKB web interface at http://your_server_ip:8080 with default admin credentials:

• username: admin
• password: MaxKB@123…

中国用户如遇到 Docker 镜像 Pull 失败问题，请参照该 离线安装文档 进行安装。

Screenshots

Technical stack

• Frontend：Vue.js
• Backend：Python / Django
• LLM Framework：LangChain
• Database：PostgreSQL + pgvector

Feature Comparison

MaxKB is positioned as an Ready-to-use RAG (Retrieval-Augmented Generation) intelligent Q&A application, rather than a middleware platform for building large model applications. The following table is merely a comparison from a functional perspective.

Star History

License

Licensed under The GNU General Public License version 3 (GPLv3) (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.gnu.org/licenses/gpl-3.0.html

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.