Every answer grounded in your knowledge
A built-in vector database retrieves from your documents, policies, and enterprise data so agents reason on facts, not guesses.
/Why this matters
Ungrounded AI makes things up
A model with no access to your data guesses — and in a regulated business, a confident guess is a liability. RAG grounds every response in your own sources, with citations.
The cost of borrowed intelligence
/How it works
How it works
Ingest your sources
Bring documents and enterprise data into the platform.
Index privately
Content is embedded into the built-in vector store — no external service.
Ground every response
Retrieval grounds model answers with citations for auditability.
/Capabilities
Retrieval capabilities
/Fits your stack
Runs where your data lives
Databases
PostgreSQL and your operational and analytical data stores.
Collaboration
SharePoint, Confluence, and your team knowledge sources.
Files & Object Storage
File systems, S3, and document repositories.
Design partners
Own the intelligence layer
MiraeAI Uniforge is being built with a small group of design partners in regulated industries. We deploy a governed pilot in weeks, inside your environment, alongside our team.
Become a design partner/FAQ
Questions we hear often
No. The vector database is built into AI Core, so there's no extra service to procure, secure, or operate.
Yes. Retrieved passages are cited, so every grounded answer is traceable back to your source documents.