Deploy in controlled infrastructure
MaxKB can run on premises or in a private cloud and connect to local, hosted or external language models. This lets the organisation balance confidentiality, response quality, latency and infrastructure cost.
Build knowledge bases
Upload documents or collect approved web pages. The platform extracts text, splits it into searchable fragments, calculates vector representations and retrieves passages by meaning rather than exact keywords.
Ground answers with RAG
Retrieved passages are supplied to the model as controlled context. Prompts, retrieval thresholds, citations and fallback behaviour can be tuned and tested against representative questions.
Use multiple knowledge sources
One application can query several knowledge bases. Access boundaries can separate departments, products, customers or confidentiality levels.
Create AI applications and workflows
Visual workflows combine retrieval, model calls, conditions, branches and custom functions. MCP tools and APIs let an agent obtain approved data or invoke a corporate action rather than only generate text.
Integrate and publish
Applications can be exposed through a web chat, embedded into a portal or connected through API to support, learning and business systems. Testing and debugging tools help validate behaviour before publication.
Enterprise rollout
Begin with a bounded knowledge set and measured questions. Then add identity, monitoring, model routing, separate environments and a publication process for multiple teams.