MaxKB vs lilbee
MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.; lilbee: lilbee allows you to interactively or programmatically chat with a database of documents using strictly your own hardware, completely offline. It can augment any AI agent via MCP or shell, supports a wide range of document formats (PDF, Office, images, code, etc.), and includes a built-in REST API for integration into any GUI. It also provides per-project isolated indexes for privacy and organization.
TL;DR
- You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
- You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
- You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
- Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
Local document Q&A with offline privacy
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