maxkb
MaxKB (Max Knowledge Brain) is an open-source platform for building enterprise-grade agents that integrates Retrieval-Augmented Generation (RAG) pipelines, a workflow engine, and multi-component tool-use (MCP) to enable intelligent Q&A and automation across business scenarios.
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maxkb
MaxKB (Max Knowledge Brain) is an open-source platform designed to build enterprise-grade agents. It integrates Retrieval-Augmented Generation (RAG) pipelines to reduce hallucinations in large models and deliver improved smart Q&A experiences. The platform includes an agentic workflow engine, a function/tool library and MCP tool-use capabilities to orchestrate AI processes for complex business scenarios. MaxKB targets use cases such as intelligent customer service, corporate internal knowledge bases, academic research, and education, and supports rapid, zero-code integration into third-party business systems while being model-agnostic (supporting private and public large models).
Open-source AI assistant for enterprise with RAG and LLM.
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Claim this listing for $29Key Features
RAG Pipeline
Supports direct uploading of documents and automatic crawling of online documents, with automatic text splitting, vectorization, and Retrieval-Augmented Generation to reduce hallucinations and improve Q&A accuracy.
Agentic Workflow
Provides a workflow engine, function library and MCP tool-use to orchestrate AI processes and handle complex business scenarios.
Seamless Integration
Enables zero-coding rapid integration into third-party business systems to add intelligent Q&A capabilities to existing systems.
Model-Agnostic
Supports various large models including private models (DeepSeek, Llama, Qwen, etc.) and public models (OpenAI, Claude, Gemini, etc.).
Open-source
Distributed as an open-source project with a referenced GitHub project and a community presence (Get Started, Docs, Discussions).
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Intelligent Customer Service
Deploy conversational agents and RAG-backed Q&A to improve customer interactions and reduce incorrect responses.
Corporate Internal Knowledge Bases
Build searchable, RAG-enhanced knowledge bases for internal staff to surface accurate information from documents and crawled content.
Academic Research
Assist research workflows by integrating documents, performing retrieval and augmented generation to support Q&A and summarization.
Education
Support educational scenarios with document-backed question answering and agentic workflows for learning applications.
Integrations
Third-party business systems
Zero-coding rapid integration to add intelligent Q&A capabilities to existing systems.
OpenAI
Supported public model for model-agnostic deployments.
Claude
Supported public model for model-agnostic deployments.
Gemini
Supported public model for model-agnostic deployments.
DeepSeek
Example of a supported private model for on-premise or private deployments.
Llama
Example of a supported private model for on-premise or private deployments.
Qwen
Example of a supported private model for on-premise or private deployments.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Visit the MaxKB site and review the 'Get Started' and Product Docs sections
- 2 Clone or access the MaxKB GitHub project to obtain the open-source code
- 3 Upload documents or configure automatic crawling to populate the RAG pipeline (automatic text splitting and vectorization)
- 4 Configure model connections (private or public models) and integrate into business systems using the zero-coding integration options
Support
docs
Product Docs (referenced on the site) for installation and usage guidance.
discussions
Community discussions referenced on the site for questions and community support.
github
MaxKB GitHub Project for source code, issue tracking, and contributions.
API
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