MaxKB: The Intelligent Assistant Connecting to Any Large Language Model
As LLM applications evolve from simple Q&A to complex instruction execution and multi-step reasoning, developers are gradually moving away from hardcoded logic into a new era of "language as interface." OpenAI's Assistants API exemplifies this shift—integrating code interpreters, retrieval, and function calling into a unified platform. However, these platform services still face practical challenges in data privacy, model flexibility, and cost control.
MaxKB redefines the "AI Assistant API" through an open-source, modular approach, enabling developers to build intelligent agents on any model without depending on specific vendors or closed ecosystems. Whether connecting to OpenAI, Claude, or locally deployed models like LLaMA3 or Mistral, MaxKB easily orchestrates tasks, integrates knowledge, defines tools, and responds flexibly—making it the ideal foundation for enterprise-grade AI assistants.
Self-Hosting and Privacy Protection
MaxKB natively supports local deployment, helping enterprises and developers maintain complete control over data security. Sensitive information can be securely processed within private networks without transmission to third-party cloud platforms, easily addressing compliance requirements like GDPR and HIPAA.
Additionally, MaxKB's deployment methodology supports containerization and multi-node scaling, adapting to enterprise-grade production environments without requiring infrastructure restructuring.
Connect to Any Model with Flexible Choices
MaxKB isn't tied to any model provider and supports all mainstream LLM interfaces. You can freely switch between OpenAI, Anthropic, or integrate self-hosted models like LLaMA, Mistral, Yi, and Gemma. Through a unified API adaptation layer, developers need only integrate once to call across models or even switch model strategies at runtime.
Furthermore, MaxKB provides prompt templates, context strategies, and model capability descriptions, helping the system automatically adapt to different models' performance characteristics and limitations, allowing developers to focus on business logic without repeatedly adjusting technical details.
Powerful RAG Support
MaxKB features a highly customizable RAG system compatible with various vector databases (such as Qdrant, Milvus, Weaviate, Chroma, etc.), enabling seamless knowledge integration, document retrieval, and semantic enhancement.
Its retrieval layer supports custom embedders, multimodal data sources, query expansion, and multi-round context fusion, achieving high-precision recall for complex queries. Users can further improve response quality and efficiency through reranking models, window control, and caching strategies to meet the demands of enterprise-level knowledge-intensive tasks.
Tool Orchestration and Function Calling
MaxKB includes built-in function calling mechanisms, supporting native function call capabilities through models like OpenAI and Anthropic, or custom parsing logic for inter-model tool invocation. You can package external systems as tools and define their parameter structures and execution logic through YAML or code.
Going further, MaxKB supports multi-tool combination calls, conditional triggering, and multi-round planning, giving models genuine "agent" behavior capabilities for automated task execution, system integration, and chain of thought reasoning.
Open API and Code Extension Capabilities
As a developer-focused product, MaxKB provides comprehensive API documentation and plugin mechanisms for quick integration into existing systems. Whether it's SaaS platforms, knowledge bases, or business process tools, all can access MaxKB's intelligent capabilities through standard interfaces.
You can also directly modify MaxKB's source code to inject custom middleware, logging systems, or permission models, creating an AI system perfectly tailored to your business requirements.
Team Collaboration and Iterative Optimization
MaxKB supports collaborative development with debugging tools, log tracking, and interaction replay features, allowing non-technical personnel to participate in AI assistant design and optimization. The data feedback system supports conversation annotation and result scoring, helping teams continuously improve model performance and product experience.
Through a unified development entry point, visual configuration, and real-time monitoring, MaxKB serves as a bridge connecting development, product, and operations teams, accelerating every step from prototype to deployment.
MaxKB is your open-source foundation for building intelligent assistants, automated agents, and enterprise-grade AI systems.
From model integration to knowledge retrieval, from tool invocation to task planning, MaxKB opens every detail to developers, putting you in complete control of AI intelligence.