1. Prepare sources
Documents are collected, cleaned and classified before ingestion. Public, internal and restricted material must stay visibly separated.
Method
Dr Albert uses retrieval-augmented generation: documents are prepared, searched locally, then used to generate a cited answer for human review.
Documents are collected, cleaned and classified before ingestion. Public, internal and restricted material must stay visibly separated.
The private RAG stack searches approved document chunks. The public website never sends visitor questions to that stack.
A local model can draft an answer from retrieved evidence. It should show citations and declare uncertainty.
Any public example must be reviewed, redacted if needed, and published as static content only.
Dr Albert answers from its approved corpus. If the source is not present, the honest answer is that the system does not have enough information.
Outputs from large language models can be incomplete or wrong. Public-sector use needs human judgement and source checking.
V1 public examples are based on reviewed source dates. They do not show current traffic, weather, service status or private operational data.
Dr Albert does not provide legal, medical, financial or personal council-service advice on this public site.