MaxKB is Fit2Cloud’s open-source knowledge-base Q&A system that combines documents, databases, and LLMs into AI applications embeddable in business systems.
MaxKB emphasizes out-of-the-box use and deep embedding. It ingests PDFs, Word files, and Markdown into knowledge bases with automatic vectorization and retrieval-augmented generation, and it can also query live business databases so answers carry real-time data. Applications embed into websites, ticketing systems, and office tools via iframe or API. Multi-user management, conversation analytics, and hit testing support continuous tuning, and the platform works with mainstream open-source and commercial models.
A headline advantage is embedding: generated applications sit inside websites and ticketing systems rather than living in a separate chat window. Database integration brings live business data into answers, and hit testing helps teams keep tuning retrieval quality.
A sound rollout starts with document Q&A, then adds database access for live data. Hit testing pinpoints knowledge gaps, and embedding puts answers at the business entry points where users already are. The community edition suffices for most teams to start, with enterprise upgrades for high availability and support.
Community forums and documentation ease the learning curve, and the hit-testing feature makes tuning knowledge bases a measurable exercise. Because the project is open source, teams can audit behavior and extend it where their use cases diverge.
The community edition is open source and free; professional and enterprise editions are subscription-priced with high availability and support.
Enterprise IT teams, SaaS vendors, and operators adding AI Q&A to business systems quickly. It fits enterprise IT teams adding AI Q&A to business systems.
MaxKB is an open-source knowledge-base Q&A platform that turns an organization’s documents into a working chatbot in minutes.
MaxKB, built by the open-source team behind 1Panel and Halo, takes a document-first approach to enterprise assistants. You upload files or sync from a database, MaxKB handles parsing and embedding automatically, and the result is a Q&A bot with configurable prompts, model choice, and answer-scoring safeguards. Workflows support structured function calls so the bot can query business systems, not just documents. Deployment is deliberately simple: one container, a web console, and embeddable widgets for websites and internal portals. A growing install base across Chinese SMEs reflects its balance of practical features and low operational overhead, with an active community releasing frequent updates. The platform integrates with common Chinese collaboration suites and website builders, and its active community shares deployment recipes, making routine upgrades and troubleshooting quick for small IT teams. Its question-answering quality benefits from automatic intent recognition that routes factual lookups to the knowledge base and conversational chit-chat to the underlying language model.
MaxKB is free and open source for self-hosting. Professional service contracts are available for enterprises needing installation support, custom development, and guaranteed response times.
Small and mid-sized Chinese organizations that want a reliable internal Q&A assistant over their own documents without licensing a heavyweight platform or staffing an ML team. It is a pragmatic fit for organizations that want their first internal assistant running this month, not next quarter, and are comfortable with community support.