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.
MaxKB’s community edition is open source and free for self-hosting. Professional and enterprise editions are sold as subscriptions adding multi-user management, high availability, and vendor 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.