https://github.com/1Panel-dev/MaxKB
💬 Ready-to-use, flexible RAG Chatbot.
https://github.com/1Panel-dev/MaxKB
chatbot knowledgebase langchain llm maxkb ollama pgvector rag
Last synced: 21 days ago
JSON representation
💬 Ready-to-use, flexible RAG Chatbot.
- Host: GitHub
- URL: https://github.com/1Panel-dev/MaxKB
- Owner: 1Panel-dev
- License: gpl-3.0
- Created: 2023-09-14T02:05:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-20T12:29:17.000Z (4 months ago)
- Last Synced: 2024-12-21T19:02:45.794Z (4 months ago)
- Topics: chatbot, knowledgebase, langchain, llm, maxkb, ollama, pgvector, rag
- Language: Python
- Homepage: https://maxkb.cn
- Size: 37.3 MB
- Stars: 12,077
- Watchers: 77
- Forks: 1,575
- Open Issues: 73
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-gpt - https://github.com/1Panel-dev/MaxKB
- awesome-ai-api-projects - MaxKB - level knowledge base question and answer system that is ready to use out of the box, supports seamless integration, and multi-model docking. | open | Both+official | 全能, 本地模型 |  | (AI Agent / File)
- StarryDivineSky - 1Panel-dev/MaxKB
- AiTreasureBox - 1Panel-dev/MaxKB - 04-07_15490_19](https://img.shields.io/github/stars/1Panel-dev/MaxKB.svg)|? Based on LLM large language model knowledge base Q&A system. Ready to use out of the box, supports quick integration into third-party business systems. Officially produced by 1Panel| (Repos)
- awesome-hacking-lists - 1Panel-dev/MaxKB - 💬 Ready-to-use & flexible RAG Chatbot, supporting mainstream large language models (LLMs) such as DeepSeek-R1, Llama 3.3, Qwen2, OpenAI and more. (Python)
- awesome-ai - MaxKB
- awesome-LLM-resourses - MaxKB
- alan_awesome_llm - MaxKB
- alan_awesome_llm - MaxKB
README
Ready-to-use, flexible RAG Chatbot
基于大模型和 RAG 的开源知识库问答系统
MaxKB = Max Knowledge Base, it is a chatbot based on Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
- **Ready-to-Use**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization, and RAG (Retrieval-Augmented Generation). This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
- **Flexible Orchestration**: Equipped with a powerful workflow engine and function library, 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:
```bash
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](https://maxkb.cn/docs/installation/offline_installtion/) 进行安装。
## Screenshots
![]()
![]()
![]()
![]()
## Technical stack
- Frontend:[Vue.js](https://vuejs.org/)
- Backend:[Python / Django](https://www.djangoproject.com/)
- LLM Framework:[LangChain](https://www.langchain.com/)
- Database:[PostgreSQL + pgvector](https://www.postgresql.org/)## 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.
Feature
LangChain
Dify.AI
Flowise
MaxKB
(Built upon LangChain)
Supported LLMs
Rich Variety
Rich Variety
Rich Variety
Rich Variety
RAG Engine
✅
✅
✅
✅
Agent
✅
✅
❌
✅
Workflow
❌
✅
✅
✅
Observability
✅
✅
❌
✅
SSO/Access control
❌
✅
❌
✅ (Pro)
On-premise Deployment
✅
✅
✅
✅
## Star History
[](https://star-history.com/#1Panel-dev/MaxKB&Date)
## 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
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.