An agentic, retrieval-augmented assistant that answers from your own knowledge base — every response grounded in your documents, secure, and source-cited.
A RAG (retrieval-augmented generation) chat platform answers questions using your own documents and data, retrieving the most relevant content and grounding every response in it. Unlike a generic chatbot, the MMW RAG Chat Platform cites its sources and only answers from the knowledge you authorize.
From setup to outcome, MMW RAG Chat Platform does the heavy lifting.
Add documents, manuals, and domain content to build your knowledge base.
Teams ask natural-language questions in a familiar chat interface.
Every answer is retrieved from your data and cites its sources.
Purpose-built features for real-world workflows.
Converse with your own documents in natural language.
Pull the most relevant content for every question.
Every response links back to the documents it came from.
Access is scoped — the assistant answers only from authorized knowledge.
Search across your entire knowledge base instantly.
Ingest large document sets and keep them current.
The things people most often ask about RAG Chat Platform.
Book a personalized demo and watch MMW RAG Chat Platform work on your own use case.
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Mark