Product

Complete context for your people and your AI agents.

What troveGEN is

troveGEN turns your documents into something your apps and AI agents can search accurately. You send it files, web pages or feeds. It reads them, including scans, makes sense of their structure, protects sensitive details and indexes them. Your app then asks questions through one API and gets back the right passages, with their sources, from only what each person is allowed to see.

How it fits together

From a file to a governed answer.

What goes in

  • PDFs & scansTyped or photographed pages
  • Spreadsheets & tablesRows stay searchable
  • Web pages & feedsCrawled or synced
  • Email & slidesWord, PowerPoint, .eml

What troveGEN does

  1. 1ReadsScans, tables and layouts, in many languages
  2. 2ProtectsSensitive details replaced before indexing
  3. 3IndexesFully managed, or inside your own database
  4. 4FindsKeyword and meaning search, ranked and filtered

What comes out

  • The right passageWith its source page and section
  • Exact numbersTotals computed from the table, not guessed
  • Only what is allowedEach person sees just their own documents
  • An honest "not found"Questions the documents cannot answer are refused

Questions people ask

The short version.

What does troveGEN do?

troveGEN turns your documents into something your apps and AI agents can search accurately. You send it files, web pages or feeds. It reads them, including scans, makes sense of their structure, protects sensitive details and indexes them. Your app then asks questions through one API and gets back the right passages, with their sources, from only what each person is allowed to see.

Is troveGEN a vector database?

No. A vector database stores and searches vectors. troveGEN is everything around it: reading and structuring documents, protecting sensitive data, embedding, hybrid search, ranking, permissions, answers and evaluation. It writes into a vector database it hosts for you, or into one you already run.

Who is it for?

Teams building AI products that need document search without building the plumbing, regulated organisations that need control over where data lives, and teams who want colleagues to ask questions of their documents and get cited answers.