RAG systems with verifiable citations for company knowledge
A dependable RAG system does not answer from uncontrolled model memory. It retrieves relevant content, respects permissions and shows the source passages behind an answer.
Common starting point
- Generic chatbot answers cannot be verified
- Knowledge is trapped in PDFs, wikis and silos
- Stale or unauthorised content appears in responses
Target outcome
- Answers with document and page references
- Permission-aware retrieval and isolated knowledge spaces
- Measurable retrieval and answer quality
Approach
- Assess documents, representative questions and permissions
- Tune ingestion, chunking and hybrid retrieval
- Generate cited answers and evaluate against test questions
- Monitor changes, cost and failure behaviour
Related services and projects
Frequently asked questions
What is Agentic RAG?
Agentic RAG adds multi-step retrieval, tools and planning. Companies first need a dependable RAG system with citations and permissions. 13Floors builds that for production, not as a research survey.
Do citations eliminate hallucinations?
No. Citations make claims easier to verify and evaluation measures failures, but no language model is error-free. Important decisions still need appropriate controls.
Can the system preserve source permissions?
Yes, when source systems provide reliable permission data. Access can be enforced during indexing and again at query time.