Enterprise search that shows
its working.

Set the source boundary first: the approved documents, versions and identities. Then let the system retrieve passages rather than filenames, write an answer that links each claim to the passage it came from, and have the person responsible open the source before relying on it. When someone knows the filename or exact term, ordinary keyword search is often enough.

Enterprise search finds the documents and passages that match a question and leaves the reading to you. A source-cited answer goes a step further: it writes an answer from the retrieved passages and links each claim to the passage it came from, so a reviewer can open the source and check it. A citation on its own does not prove the passage says what the answer claims, so the check still matters.

Tools that retrieve from an approved set of your own documents and write answers from it: enterprise search with generated answers, and private RAG systems. General chat assistants cite web pages, and see internal documents only through the connectors you give them. Marella AI answers over the documents your organisation approves, cites the exact passage behind each answer and fact-checks answers against their sources, flagging inaccurate citations and unsupported claims.

A search box returns a ranked list of files and leaves the reading to you. This retrieves the relevant passages across documents and writes a synthesis linked back to them, which is only worth the extra step once you have tested the evidence behind it and how it behaves when it fails.

Enterprise document search is scoped to the sources your organisation has approved. Web research is a separate configurable agent role, and the workflow should make it visible which of the two an answer came from.

Do not assume that from an integration label. Test identity, revoked access, deletions and inaccessible content for the selected connector.